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Bibliographies

22

1 Leveraging Weak Supervision for Cell Localization in Digital Pathology Using Multitask Learning and Consistency Loss

2 ReCAP: Recursive Cross Attention Network for Pseudo-Label Generation in Robotic Surgical Skill Assessment

3 Multi-view SA-LA Net: A framework for simultaneous segmentation of RV on multi-view cardiac MR Images

4 Uncertainty-driven and Adversarial Calibration Learning for Epicardial Adipose Tissue Segmentation

5 Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images

6 TinyVIRAT: Low-resolution Video Action Recognition

7 Exploring Phonetic Context-Aware Lip-Sync For Talking Face Generation

8 Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models

9 Longitudinal Mammogram Risk Prediction

10 EBHI:A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation

11 Classification of Histopathology Images of Lung Cancer Using Convolutional Neural Network (CNN)

12 DeepMMSA: A Novel Multimodal Deep Learning Method for Non-small Cell Lung Cancer Survival Analysis

13 DVS: Blood cancer detection using novel CNN-based ensemble approach

14 PPMamba: A Pyramid Pooling Local Auxiliary SSM-Based Model for Remote Sensing Image Semantic Segmentation

15 Adaptive Direction-Guided Structure Tensor Total Variation

16 Nonlocal Adaptive Direction-Guided Structure Tensor Total Variation For Image Recovery

17 M2ANET: Mobile Malaria Attention Network for efficient classification of plasmodium parasites in blood cells

18 Malaria detection using Deep Convolution Neural Network

19 Malaria Cell Detection Using Deep Neural Networks

20 Automated Web-Based Malaria Detection System with Machine Learning and Deep Learning Techniques

21 MAIScope: A low-cost portable microscope with built-in vision AI to automate microscopic diagnosis of diseases in remote rural settings

22 Medical Knowledge-Guided Deep Curriculum Learning for Elbow Fracture Diagnosis from X-Ray Images