Reinforcement Learning in Medical Imaging: Taxonomy, LLMs, and Clinical Challenges

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Superpixel Region Merging Based on Deep Network for Medical Image Segmentation

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Brain Neoplasm Image Recognition Using Deep Learning Techniques

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Non-competitive and competitive deep learning for imaging applications

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A COMPARATIVE STUDY OF MACHINE LEARNING AND DEEP LEARNING ALGORITHMS FOR THE DETECTION AND CLASSIFICATION OF BREAST CANCER FROM MAMMOGRAPHY IMAGES AND ULTRA SOUND IMAGES

Topological data analysis in medical imaging: current state of the art

Yashbir Singh, Colleen Farrelly, Quincy Alexander Hathaway et al.

Classification of Diabetic Retinopathy Severity Using Deep Learning Techniques on Retinal Images

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PL-Net: progressive learning network for medical image segmentation

Kunpeng Mao, Ruoyu Li, Junlong Cheng

Integrating Traditional Machine Learning and Deep Learning Methods for Enhanced Wilms Tumor Detection

Anirudh Anandarao, Bhadresh Amarnath

Deep learning enables ultraviolet photoacoustic microscopy based histological imaging with near real-time virtual staining

Lei Kang, Xiufeng Li, Yan Zhang

Deep Multimodal Imitation Learning-Based Framework for Robot-Assisted Medical Examination

Weiyong Si, Ning Wang, Rebecca Harris

The Importance of Understanding Deep Learning

Tim Räz, Claus Beisbart