Adaptive Feature Medical Segmentation Network: an adaptable deep learning paradigm for high-performance 3D brain lesion segmentation in medical imaging

Asim Zaman, Haseeb Hassan, Xueqiang Zeng

PePR: Performance Per Resource Unit as a Metric to Promote Small-Scale Deep Learning in Medical Image Analysis

Raghavendra Selvan, Bob Pepin, Christian Igel

Revolutionizing Osteosarcoma Diagnosis: A Comparative Analysis of Deep Learning Models for Precise Bone Cancer Detection Using Multi-Modal Medical Imaging

S. Gunanithi, S. Ilavarasan, R. N. Karthika

Duedl: Dual-Branch Evidential Deep Learning for Weakly Supervised Medical Image Segmentation Via Scribble Annotations

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Machine Learning and Deep Learning Approaches for Medical Image Analysis and Disease Detection Using X-ray and MRI Harsh Kumar Sahu

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Novel Aspects of Secure Medical Image Encryption using Block-Chain and Transformer-Based Deep Learning Model

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Deep Learning-Based Bayesian Neural Network for Personalized Decision Support in Leukemia Treatment Using Medical Imaging

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RETRACTED: Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds

Hassaan Malik, Tayyaba Anees

FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging Segmentation

Adrian Celaya, Beatrice M. Rivière, David Fuentes

Self-Supervised Pre-Training with Contrastive and Masked Autoencoder Methods for Dealing with Small Datasets in Deep Learning for Medical Imaging

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Research and Application of Deep Learning in Image Recognition

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