$Exploring learning environments for label\-efficient cancer diagnosis$

Exploring learning environments for label\-efficient cancer diagnosis

15 August 2024

Sarfaraz Masood

Chandni Saxena

Papers citing "Exploring learning environments for label\-efficient cancer diagnosis"

17 / 17 papers shown

Title
Comparative Analysis of Deep Learning Architectures for Breast Cancer Diagnosis Using the BreaKHis Dataset Irem Sayin Muhammed Ali Soydas Yunus Emre Mert Arda Yarkadas Berk Ergun Selma Sozen Yeh Huseyin Uvet 37 6 0 02 Sep 2023
Systematic comparison of semi-supervised and self-supervised learning for medical image classification Zhe Huang Ruijie Jiang Shuchin Aeron M. C. Hughes SSL OOD 70 7 0 18 Jul 2023
Using VGG16 Algorithms for classification of lung cancer in CT scans Image Hasan Hejbari Zargar Saha Hejbari Zargar Raziye Mehri Farzane Tajidini 39 5 0 27 May 2023
Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate Kiarash Mohammadi He Zhao Mengyao Zhai Frederick Tung 58 3 0 31 Mar 2023
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis Linhao Qu Siyu Liu Xiaoyu Liu Manning Wang Zhijian Song 47 58 0 18 Aug 2022
Unsupervised Contrastive Learning based Transformer for Lung Nodule Detection Chuang Niu Ge Wang ViT MedIm 67 36 0 30 Apr 2022
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images Prakash Chandra Chhipa Richa Upadhyay G. Pihlgren Rajkumar Saini Seiichi Uchida Marcus Liwicki SSL MedIm 52 19 0 15 Mar 2022
Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation Zhaozheng Chen Tan Wang Xiongwei Wu Xiansheng Hua Hanwang Zhang Qianru Sun WSOL VLM 109 145 0 02 Mar 2022
Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging Andriy Myronenko Ziyue Xu Dong Yang H. Roth Daguang Xu 85 50 0 01 Nov 2021
Reducing Label Effort: Self-Supervised meets Active Learning Javad Zolfaghari Bengar Joost van de Weijer Bartlomiej Twardowski Bogdan Raducanu VLM 42 60 0 25 Aug 2021
Self supervised contrastive learning for digital histopathology Ozan Ciga Tony Xu Anne L. Martel SSL 148 316 0 27 Nov 2020
Contrastive Representation Learning: A Framework and Review Phúc H. Lê Khắc Graham Healy Alan F. Smeaton SSL AI4TS 292 705 0 10 Oct 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 86 299 0 09 Jun 2020
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Nima Tajbakhsh Laura Jeyaseelan Q. Li J. Chiang Zhihao Wu Xiaowei Ding 137 762 0 27 Aug 2019
Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases Amit Kumar Jaiswal Ivan Panshin D. Shulkin Nagender Aneja Samuel Abramov SSL MedIm 45 23 0 23 Jun 2019
Semi-supervised multi-task learning for lung cancer diagnosis Naji Khosravan Ulas Bagci 38 42 0 17 Feb 2018
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation Ling Yang Yizhe Zhang Jianxu Chen Siyuan Zhang Danny Chen MedIm 65 504 0 15 Jun 2017