医学 AI - arXivDaily 专题

2202.06073 2022-02-15 eess.IV cs.CV 62%

Classification of Microscopy Images of Breast Tissue: Region Duplication based Self-Supervision vs. Off-the Shelf Deep Representations

Aravind Ravi

专题命中病理影像：diagnosis(abstract)；分类 cs.CV、eess.IV

2201.08385 2022-02-01 eess.IV cs.AI cs.CV 62%

Improving Specificity in Mammography Using Cross-correlation between Wavelet and Fourier Transform

Liuhua Zhang

专题命中病理影像：diagnosis(abstract)；分类 cs.CV、eess.IV

2201.11866 2022-01-31 eess.IV cs.CV 62%

Calibrating Histopathology Image Classifiers using Label Smoothing

Jerry Wei, Lorenzo Torresani, Jason Wei, Saeed Hassanpour

专题命中病理影像：pathology(abstract)；分类 cs.CV、eess.IV

2109.01485 2022-01-21 eess.IV cs.CV 62%

MitoDet: Simple and robust mitosis detection

Jakob Dexl, Michaela Benz, Volker Bruns, Petr Kuritcyn, Thomas Wittenberg

专题命中病理影像：pathology(abstract)；分类 cs.CV、eess.IV

Comments Corrected typos

2201.06329 2022-01-20 eess.IV cs.CV 62%

H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression

Niccoló Marini, Manfredo Atzori, Sebastian Otálora, Stephane Marchand-Maillet, Henning Müller

专题命中病理影像：pathology(abstract)；分类 cs.CV、eess.IV

Comments Errata corrige Proceedings of the IEEE/CVF International Conference on Computer Vision 2021

2107.10180 2022-01-19 eess.IV cs.CV 62%

3D fluorescence microscopy data synthesis for segmentation and benchmarking

Dennis Eschweiler, Malte Rethwisch, Mareike Jarchow, Simon Koppers, Johannes Stegmaier

专题命中病理影像：biomedical(abstract)；分类 cs.CV、eess.IV

2201.00636 2022-01-04 eess.IV cs.CV 62%

Improving Feature Extraction from Histopathological Images Through A Fine-tuning ImageNet Model

Xingyu Li, Min Cen, Jinfeng Xu, Hong Zhang, Xu Steven Xu

专题命中病理影像：pathology(abstract)；分类 cs.CV、eess.IV

2005.07229 2022-01-04 cs.CV cs.NE eess.IV 62%

Evolved Explainable Classifications for Lymph Node Metastases

Iam Palatnik de Sousa, Marley Maria Bernardes Rebuzzi Vellasco, Eduardo Costa da Silva

专题命中病理影像：pathology(abstract)；分类 cs.CV、eess.IV

2106.02694 2021-12-07 cs.CV cs.LG 62%

Efficient Classification of Very Large Images with Tiny Objects

Fanjie Kong, Ricardo Henao

专题命中病理影像：pathology(abstract)；分类 cs.CV、cs.LG

2108.12173 2021-11-15 eess.IV cs.CV 62%

CoCo DistillNet: a Cross-layer Correlation Distillation Network for Pathological Gastric Cancer Segmentation

Wenxuan Zou, Muyi Sun

专题命中病理影像：pathology(abstract)；分类 cs.CV、eess.IV

2111.02409 2021-11-05 eess.IV cs.CV 62%

Breast Cancer Classification Using: Pixel Interpolation

Osama Rezq Shahin, Hamdy Mohammed Kelash, Gamal Mahrous Attiya, Osama Slah Farg Allah

专题命中病理影像：biomedical(abstract)；分类 cs.CV、eess.IV

Comments 9 pages, 9 figures, Acta Scientific Computer Sciences

Journal ref Acta Scientific Open Access, Publication date 2021/10/28

2110.15350 2021-10-29 cs.CV cs.LG 62%

XDEEP-MSI: Explainable Bias-Rejecting Microsatellite Instability Deep Learning System In Colorectal Cancer

Aurelia Bustos, Artemio Payá, Andres Torrubia, Rodrigo Jover, Xavier Llor, Xavier Bessa, Antoni Castells, Cristina Alenda

专题命中病理影像：pathology(abstract)；分类 cs.CV、cs.LG

Comments 16 pages, 8 figures

2110.06042 2021-10-13 cs.CV cs.LG 62%

SlideGraph+: Whole Slide Image Level Graphs to Predict HER2Status in Breast Cancer

Wenqi Lu, Michael Toss, Emad Rakha, Nasir Rajpoot, Fayyaz Minhas

专题命中病理影像：pathology(abstract)；分类 cs.CV、cs.LG

Comments 20 pages, 11 figures, 3 tables

2109.12113 2021-09-28 eess.IV cs.AI cs.CV 62%

Identifying Women with Mammographically-Occult Breast Cancer Leveraging GAN-Simulated Mammograms

Juhun Lee, Robert M. Nishikawa

专题命中病理影像：MRI(abstract)；分类 cs.CV、eess.IV

Comments This article has been accepted for publication in IEEE Transactions on Medical Imaging. This is the author's version which has not been fully edited and content may change prior to final publication. Citation information: DOI 10.1109/TMI.2021.3108949. \c{opyright} 2021 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission

2108.11993 2021-09-23 eess.IV cs.CV 62%

Evaluating Transformer-based Semantic Segmentation Networks for Pathological Image Segmentation

Cam Nguyen, Zuhayr Asad, Yuankai Huo

专题命中病理影像：diagnosis(abstract)；分类 cs.CV、eess.IV

2011.00263 2021-09-22 eess.IV cs.CV 62%

Encoding Clinical Priori in 3D Convolutional Neural Networks for Prostate Cancer Detection in bpMRI

Anindo Saha, Matin Hosseinzadeh, Henkjan Huisman

专题命中病理影像：diagnosis(abstract)；分类 cs.CV、eess.IV

Comments Accepted to Medical Imaging Meets NeurIPS Workshop of the 34th Conference on Neural Information Processing Systems (NeurIPS 2020)

2109.05025 2021-09-14 eess.IV cs.CV 62%

Medulloblastoma Tumor Classification using Deep Transfer Learning with Multi-Scale EfficientNets

Marcel Bengs, Michael Bockmayr, Ulrich Schüller, Alexander Schlaefer

专题命中病理影像：diagnosis(abstract)；分类 cs.CV、eess.IV

Comments Accepted at SPIE Medical Imaging 2021 https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11603/116030D/Medulloblastoma-tumor-classification-using-deep-transfer-learning-with-multi-scale/10.1117/12.2580717.full?SSO=1

2011.13971 2021-09-09 eess.IV cs.CV 62%

Self supervised contrastive learning for digital histopathology

Ozan Ciga, Tony Xu, Anne L. Martel

专题命中病理影像：medical image(abstract)；分类 cs.CV、eess.IV

2108.09423 2021-08-24 cs.LG eess.SP 62%

Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma

Yifan Li, Chao Li, Yiran Wei, Stephen Price, Carola-Bibiane Schönlieb, Xi Chen

专题命中病理影像：MRI(abstract)；分类 cs.LG、eess.SP

2108.08508 2021-08-20 eess.IV cs.CV 62%

Patch-Based Cervical Cancer Segmentation using Distance from Boundary of Tissue

Kengo Araki, Mariyo Rokutan-Kurata, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise

专题命中病理影像：diagnosis(abstract)；分类 cs.CV、eess.IV

Comments 4 pages, 6 figures, EMBC2021

2108.02676 2021-08-06 cs.CV cs.LG 62%

Redesigning Fully Convolutional DenseUNets for Large Histopathology Images

Juan P. Vigueras-Guillén, Joan Lasenby, Frank Seeliger

专题命中病理影像：pathology(abstract)；分类 cs.CV、cs.LG

Comments 15 pages, 6 figures. Originally submitted to the European Conference on Computer Vision 2020 (but did not get enough grade to pass the acceptance threshold)

2107.12357 2021-07-27 eess.IV cs.CV 62%

Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations

Sophia J. Wagner, Nadieh Khalili, Raghav Sharma, Melanie Boxberg, Carsten Marr, Walter de Back, Tingying Peng

专题命中病理影像：pathology(abstract)；分类 cs.CV、eess.IV

Comments accepted at MICCAI 2021, code and model weights are available at http://github.com/sophiajw/HistAuGAN

2105.02771 2021-07-27 eess.IV cs.CV 62%

Saliency-Guided Deep Learning Network for Automatic Tumor Bed Volume Delineation in Post-operative Breast Irradiation

Mahdieh Kazemimoghadam, Weicheng Chi, Asal Rahimi, Nathan Kim, Prasanna Alluri, Chika Nwachukwu, Weiguo Lu, Xuejun Gu

专题命中病理影像：CT(abstract)；分类 cs.CV、eess.IV

Comments https://iopscience.iop.org/article/10.1088/1361-6560/ac176d

Journal ref Physics in Medicine & Biology 2021

2107.05037 2021-07-15 eess.IV cs.CV 62%

BCNet: A Deep Convolutional Neural Network for Breast Cancer Grading

Pouya Hallaj Zavareh, Atefeh Safayari, Hamidreza Bolhasani

专题命中病理影像：diagnosis(abstract)；分类 cs.CV、eess.IV

2106.10587 2021-07-01 cs.CV cs.LG 62%

Exploring Vision Transformers for Fine-grained Classification

Marcos V. Conde, Kerem Turgutlu

专题命中病理影像：pathology(abstract)；分类 cs.CV、cs.LG

Comments 4 pages, 5 figures, 4 tables. Published in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2021 - FGVC8. For code see https://github.com/mv-lab/ViT-FGVC8 and for other workshop papers see https://sites.google.com/view/fgvc8/papers

2106.10641 2021-06-22 eess.IV cs.CV 62%

Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network

Zeyu Gao, Jiangbo Shi, Xianli Zhang, Yang Li, Haichuan Zhang, Jialun Wu, Chunbao Wang, Deyu Meng, Chen Li

专题命中病理影像：pathology(abstract)；分类 cs.CV、eess.IV

Comments Accepted by MICCAI 2021

2106.06623 2021-06-15 eess.IV cs.CV 62%

Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images

Shivam Kalra, Mohammed Adnan, Sobhan Hemati, Taher Dehkharghanian, Shahryar Rahnamayan, Hamid Tizhoosh

专题命中病理影像：diagnosis(abstract)；分类 cs.CV、eess.IV

Comments Accepted in MICCAI, 2021

2008.02320 2021-06-09 eess.IV cs.LG stat.ML 62%

Machine learning for faster and smarter fluorescence lifetime imaging microscopy

Varun Mannam, Yide Zhang, Xiaotong Yuan, Cara Ravasio, Scott S. Howard

专题命中病理影像：biomedical(abstract)；分类 cs.LG、eess.IV

2105.14338 2021-06-01 eess.IV cs.CV 62%

Conditional Deep Convolutional Neural Networks for Improving the Automated Screening of Histopathological Images

Gianluca Gerard, Marco Piastra

专题命中病理影像：medical image(abstract)；分类 cs.CV、eess.IV

2105.10420 2021-05-24 eess.IV cs.CV 62%

Self-learning for weakly supervised Gleason grading of local patterns

Julio Silva-Rodríguez, Adrián Colomer, Jose Dolz, Valery Naranjo

专题命中病理影像：diagnosis(abstract)；分类 cs.CV、eess.IV

1. 病理影像 3459 篇

Classification of Microscopy Images of Breast Tissue: Region Duplication based Self-Supervision vs. Off-the Shelf Deep Representations

Improving Specificity in Mammography Using Cross-correlation between Wavelet and Fourier Transform

Calibrating Histopathology Image Classifiers using Label Smoothing

MitoDet: Simple and robust mitosis detection

H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression

3D fluorescence microscopy data synthesis for segmentation and benchmarking

Improving Feature Extraction from Histopathological Images Through A Fine-tuning ImageNet Model

Evolved Explainable Classifications for Lymph Node Metastases

Efficient Classification of Very Large Images with Tiny Objects

CoCo DistillNet: a Cross-layer Correlation Distillation Network for Pathological Gastric Cancer Segmentation

Breast Cancer Classification Using: Pixel Interpolation

XDEEP-MSI: Explainable Bias-Rejecting Microsatellite Instability Deep Learning System In Colorectal Cancer

SlideGraph+: Whole Slide Image Level Graphs to Predict HER2Status in Breast Cancer

Identifying Women with Mammographically-Occult Breast Cancer Leveraging GAN-Simulated Mammograms

Evaluating Transformer-based Semantic Segmentation Networks for Pathological Image Segmentation

Encoding Clinical Priori in 3D Convolutional Neural Networks for Prostate Cancer Detection in bpMRI

Medulloblastoma Tumor Classification using Deep Transfer Learning with Multi-Scale EfficientNets

Self supervised contrastive learning for digital histopathology

Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma

Patch-Based Cervical Cancer Segmentation using Distance from Boundary of Tissue

Redesigning Fully Convolutional DenseUNets for Large Histopathology Images

Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations

Saliency-Guided Deep Learning Network for Automatic Tumor Bed Volume Delineation in Post-operative Breast Irradiation

BCNet: A Deep Convolutional Neural Network for Breast Cancer Grading

Exploring Vision Transformers for Fine-grained Classification

Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network

Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images

Machine learning for faster and smarter fluorescence lifetime imaging microscopy

Conditional Deep Convolutional Neural Networks for Improving the Automated Screening of Histopathological Images

Self-learning for weakly supervised Gleason grading of local patterns