医学 AI - arXivDaily 专题

2012.00830 2020-12-03 eess.IV cs.CV cs.LG 85%

MRI Images Analysis Method for Early Stage Alzheimer's Disease Detection

Achraf Ben Miled, Taoufik Yeferny, Amira ben Rabeh

专题命中医学影像：MRI(title,abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Journal ref IJCSNS International Journal of Computer Science and Network Security, VOL.20 No.9, September 2020

2010.10207 2020-11-22 eess.IV cs.CV cs.LG 85%

Micro CT Image-Assisted Cross Modality Super-Resolution of Clinical CT Images Utilizing Synthesized Training Dataset

Tong Zheng, Hirohisa Oda, Masahiro Oda, Shota Nakamura, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori

专题命中医学影像：CT(title,abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

2010.11978 2020-11-19 eess.IV cs.CV cs.LG cs.NE 85%

Deep Convolutional Neural Networks Model-based Brain Tumor Detection in Brain MRI Images

Md. Abu Bakr Siddique, Shadman Sakib, Mohammad Mahmudur Rahman Khan, Abyaz Kader Tanzeem, Madiha Chowdhury, Nowrin Yasmin

专题命中医学影像：MRI(title,abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 4th International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC 2020), IEEE, 7-9 October 2020, TamilNadu, INDIA

Journal ref 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)

2011.05746 2020-11-12 eess.IV cs.CV cs.LG 85%

Classification of COVID-19 in Chest CT Images using Convolutional Support Vector Machines

Umut Özkaya, Şaban Öztürk, Serkan Budak, Farid Melgani, Kemal Polat

专题命中医学影像：CT(title,abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 20 pages, 11 figures

2010.16043 2020-11-02 eess.IV cs.CV cs.LG 85%

CT-CAPS: Feature Extraction-based Automated Framework for COVID-19 Disease Identification from Chest CT Scans using Capsule Networks

Shahin Heidarian, Parnian Afshar, Arash Mohammadi, Moezedin Javad Rafiee, Anastasia Oikonomou, Konstantinos N. Plataniotis, Farnoosh Naderkhani

专题命中医学影像：CT(title,abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

2006.10511 2020-11-02 cs.CV cs.LG eess.IV stat.ML 85%

Contrastive learning of global and local features for medical image segmentation with limited annotations

Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu

专题命中医学影像：medical image(title,abstract)；MRI(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 18 pages, 2 figures, 10 tables. This article has been accepted as Oral Presentation at NeurIPS 2020 (34th Conference on Neural Information Processing Systems)

2010.05177 2020-10-26 eess.IV cs.CV cs.LG 85%

MammoGANesis: Controlled Generation of High-Resolution Mammograms for Radiology Education

Cyril Zakka, Ghida Saheb, Elie Najem, Ghina Berjawi

专题命中医学影像：radiology(title,abstract)；medical image(abstract)；分类 cs.CV、cs.LG、eess.IV

2004.11676 2020-10-20 eess.IV cs.CV cs.LG 85%

Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks

Narinder Singh Punn, Sonali Agarwal

专题命中医学影像：diagnosis(title,abstract)；CT(abstract)；分类 cs.CV、cs.LG、eess.IV

Journal ref Appl Intell (2020)

2009.14623 2020-10-01 eess.IV cs.CV cs.LG 85%

COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning

Parnian Afshar, Shahin Heidarian, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Faranak Babaki Fard, Kaveh Samimi, Konstantinos N. Plataniotis, Arash Mohammadi

专题命中医学影像：CT(title,abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

2006.00171 2020-09-21 eess.IV cs.CV cs.LG math.OC physics.med-ph 85%

MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction

Haimiao Zhang, Baodong Liu, Hengyong Yu, Bin Dong

专题命中医学影像：CT(title,abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 14 pages

2009.07652 2020-09-17 eess.IV cs.CV cs.LG 85%

Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification

Zhao Wang, Quande Liu, Qi Dou

专题命中医学影像：CT(title,abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Published as a journal paper at IEEE J-BHI; code and dataset are available at https://github.com/med-air/Contrastive-COVIDNet

2009.02564 2020-09-09 eess.IV cs.CV cs.LG 85%

Semi-supervised Pathology Segmentation with Disentangled Representations

Haochuan Jiang, Agisilaos Chartsias, Xinheng Zhang, Giorgos Papanastasiou, Scott Semple, Mark Dweck, David Semple, Rohan Dharmakumar, Sotirios A. Tsaftaris

专题命中医学影像：pathology(title,abstract)；MRI(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 12 Pages, 4 figures

Journal ref MICCAI-2020 DART workshop

2009.00675 2020-09-03 cs.LG cs.CV eess.IV 85%

Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images

Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng

专题命中医学影像：CT(title,abstract)；medical image(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 24 pages, 7 figures

2008.11109 2020-08-26 eess.IV cs.CV cs.LG 85%

Measure Anatomical Thickness from Cardiac MRI with Deep Neural Networks

Qiaoying Huang, Eric Z. Chen, Hanchao Yu, Yimo Guo, Terrence Chen, Dimitris Metaxas, Shanhui Sun

专题命中医学影像：MRI(title)；medical image(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Accepted by STACOM 2020

2008.09713 2020-08-25 eess.IV cs.CV cs.LG 85%

Comparative performance analysis of the ResNet backbones of Mask RCNN to segment the signs of COVID-19 in chest CT scans

Muhammad Aleem, Rahul Raj, Arshad Khan

专题命中医学影像：CT(title,abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 11 pages, 10 figures and 4 tables

2008.08698 2020-08-21 eess.IV cs.CV cs.LG 85%

Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis

Jianbo Jiao, Ana I. L. Namburete, Aris T. Papageorghiou, J. Alison Noble

专题命中医学影像：MRI(title,abstract)；medical image(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments IEEE Transactions on Medical Imaging 2020

2008.08525 2020-08-20 eess.IV cs.CV cs.LG 85%

"Name that manufacturer". Relating image acquisition bias with task complexity when training deep learning models: experiments on head CT

Giorgio Pietro Biondetti, Romane Gauriau, Christopher P. Bridge, Charles Lu, Katherine P. Andriole

专题命中医学影像：CT(title)；clinical AI(abstract)；medical image(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 15 pages, 4 figures. This paper has been submitted to the Journal of Digital Imaging (Springer Journal) and it is now in review

2008.04393 2020-08-12 eess.IV cs.CV cs.LG 85%

GANBERT: Generative Adversarial Networks with Bidirectional Encoder Representations from Transformers for MRI to PET synthesis

Hoo-Chang Shin, Alvin Ihsani, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha, Alzheimer's Disease Neuroimaging Initiative

专题命中医学影像：MRI(title,abstract)；medical image(abstract)；分类 cs.CV、cs.LG、eess.IV

1912.01054 2020-08-11 eess.IV cs.CV cs.LG 85%

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge

Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein, Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Yang Nan, Guangrui Mu, Zhiyong Lin, Miofei Han, Guang Yao, Yaozong Gao, Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Zhong, Jun Ma, Jack Rickman, Joshua Dean, Bethany Stai, Resha Tejpaul, Makinna Oestreich, Paul Blake, Heather Kaluzniak, Shaneabbas Raza, Joel Rosenberg, Keenan Moore, Edward Walczak, Zachary Rengel, Zach Edgerton, Ranveer Vasdev, Matthew Peterson, Sean McSweeney, Sarah Peterson, Arveen Kalapara, Niranjan Sathianathen, Nikolaos Papanikolopoulos, Christopher Weight

专题命中医学影像：CT(title,abstract)；medical image(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 24 pages, 11 figures

1907.10132 2020-07-02 eess.IV cs.CV cs.LG stat.ML 85%

Domain specific cues improve robustness of deep learning based segmentation of ct volumes

Marie Kloenne, Sebastian Niehaus, Leonie Lampe, Alberto Merola, Janis Reinelt, Ingo Roeder, Nico Scherf

专题命中医学影像：CT(title,abstract)；medical image(abstract)；分类 cs.CV、cs.LG、eess.IV

Journal ref Scientific Reports 10, 10712 (2020)

2006.14419 2020-06-29 eess.IV cs.CV cs.LG 85%

A Novel and Reliable Deep Learning Web-Based Tool to Detect COVID-19 Infection from Chest CT-Scan

Abdolkarim Saeedi, Maryam Saeedi, Arash Maghsoudi

专题命中医学影像：CT(title,abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 9 pages, 8 figures, Improved English writing in the abstract, introduction and conclusion sections. Removed DenseNet typos underneath figures. Fixed some other minor typos

2006.13212 2020-06-25 eess.IV cs.CV cs.LG 85%

Automated Detection of COVID-19 from CT Scans Using Convolutional Neural Networks

Rohit Lokwani, Ashrika Gaikwad, Viraj Kulkarni, Aniruddha Pant, Amit Kharat

专题命中医学影像：CT(title,abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

2006.07187 2020-06-25 eess.IV cs.AI cs.CV cs.LG stat.ML 85%

HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach

Kamran Kowsari, Rasoul Sali, Lubaina Ehsan, William Adorno, Asad Ali, Sean Moore, Beatrice Amadi, Paul Kelly, Sana Syed, Donald Brown

专题命中医学影像：medical image(title,abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Journal ref Information 11, no. 6 (2020): 318

2006.01174 2020-06-08 eess.IV cs.CV cs.LG 85%

BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients

Maria de la Iglesia Vayá, Jose Manuel Saborit, Joaquim Angel Montell, Antonio Pertusa, Aurelia Bustos, Miguel Cazorla, Joaquin Galant, Xavier Barber, Domingo Orozco-Beltrán, Francisco García-García, Marisa Caparrós, Germán González, Jose María Salinas

专题命中医学影像：CT(title,abstract)；medical image(abstract)；分类 cs.CV、cs.LG、eess.IV

2004.02086 2020-06-05 eess.IV cs.CV cs.LG 85%

Arbitrary Scale Super-Resolution for Brain MRI Images

Chuan Tan, Jin Zhu, Pietro Lio'

专题命中医学影像：MRI(title,abstract)；medical image(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 12 pages, 8 figures, 1 table, to appear as a full paper with oral contribution in AIAI 2020

2006.01263 2020-06-04 eess.IV cs.CV cs.LG 85%

A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trial

Shruti Jadon, Owen P. Leary, Ian Pan, Tyler J. Harder, David W. Wright, Lisa H. Merck, Derek L. Merck

专题命中医学影像：CT(title,abstract)；medical image(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 9 pages, 3 figures, 3 tables

Journal ref SPIE MEDICAL IMAGING 2020

2005.13643 2020-06-02 eess.IV cs.CV cs.LG 85%

Segmentation of the Myocardium on Late-Gadolinium Enhanced MRI based on 2.5 D Residual Squeeze and Excitation Deep Learning Model

Abdul Qayyum, Alain Lalande, Thomas Decourselle, Thibaut Pommier, Alexandre Cochet, Fabrice Meriaudeau

专题命中医学影像：MRI(title,abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

2005.11217 2020-05-25 cs.LG cs.CV eess.IV stat.ML 85%

Semi-supervised Medical Image Classification with Global Latent Mixing

Prashnna Kumar Gyawali, Sandesh Ghimire, Pradeep Bajracharya, Zhiyuan Li, Linwei Wang

专题命中医学影像：medical image(title,abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

2005.09766 2020-05-21 physics.med-ph cs.CV cs.LG eess.IV 85%

Self-supervised Dynamic CT Perfusion Image Denoising with Deep Neural Networks

Dufan Wu, Hui Ren, Quanzheng Li

专题命中医学影像：CT(title,abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 13 pages, 9 figures

2005.03059 2020-05-19 eess.IV cs.CV cs.LG 85%

CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT Image

Tahereh Javaheri, Morteza Homayounfar, Zohreh Amoozgar, Reza Reiazi, Fatemeh Homayounieh, Engy Abbas, Azadeh Laali, Amir Reza Radmard, Mohammad Hadi Gharib, Seyed Ali Javad Mousavi, Omid Ghaemi, Rosa Babaei, Hadi Karimi Mobin, Mehdi Hosseinzadeh, Rana Jahanban-Esfahlan, Khaled Seidi, Mannudeep K. Kalra, Guanglan Zhang, L. T. Chitkushev, Benjamin Haibe-Kains, Reza Malekzadeh, Reza Rawassizadeh

专题命中医学影像：CT(title,abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 5 figures

1. 医学影像 22719 篇

MRI Images Analysis Method for Early Stage Alzheimer's Disease Detection

Micro CT Image-Assisted Cross Modality Super-Resolution of Clinical CT Images Utilizing Synthesized Training Dataset

Deep Convolutional Neural Networks Model-based Brain Tumor Detection in Brain MRI Images

Classification of COVID-19 in Chest CT Images using Convolutional Support Vector Machines

CT-CAPS: Feature Extraction-based Automated Framework for COVID-19 Disease Identification from Chest CT Scans using Capsule Networks

Contrastive learning of global and local features for medical image segmentation with limited annotations

MammoGANesis: Controlled Generation of High-Resolution Mammograms for Radiology Education

Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks

COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning

MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction

Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification

Semi-supervised Pathology Segmentation with Disentangled Representations

Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images

Measure Anatomical Thickness from Cardiac MRI with Deep Neural Networks

Comparative performance analysis of the ResNet backbones of Mask RCNN to segment the signs of COVID-19 in chest CT scans

Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis

"Name that manufacturer". Relating image acquisition bias with task complexity when training deep learning models: experiments on head CT

GANBERT: Generative Adversarial Networks with Bidirectional Encoder Representations from Transformers for MRI to PET synthesis

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge

Domain specific cues improve robustness of deep learning based segmentation of ct volumes

A Novel and Reliable Deep Learning Web-Based Tool to Detect COVID-19 Infection from Chest CT-Scan

Automated Detection of COVID-19 from CT Scans Using Convolutional Neural Networks

HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach

BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients

Arbitrary Scale Super-Resolution for Brain MRI Images

A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trial

Segmentation of the Myocardium on Late-Gadolinium Enhanced MRI based on 2.5 D Residual Squeeze and Excitation Deep Learning Model

Semi-supervised Medical Image Classification with Global Latent Mixing

Self-supervised Dynamic CT Perfusion Image Denoising with Deep Neural Networks

CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT Image