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Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects
Medical imaging analysis has witnessed remarkable advancements even surpassing
human-level performance in recent years, driven by the rapid development of advanced …
human-level performance in recent years, driven by the rapid development of advanced …
Domain generalization in computational pathology: Survey and guidelines
Deep learning models have exhibited exceptional effectiveness in Computational Pathology
(CPath) by tackling intricate tasks across an array of histology image analysis applications …
(CPath) by tackling intricate tasks across an array of histology image analysis applications …
Continual learning in medical image analysis: A survey
In the dynamic realm of practical clinical scenarios, Continual Learning (CL) has gained
increasing interest in medical image analysis due to its potential to address major …
increasing interest in medical image analysis due to its potential to address major …
DinoBloom: a foundation model for generalizable cell embeddings in hematology
In hematology, computational models offer significant potential to improve diagnostic
accuracy, streamline workflows, and reduce the tedious work of analyzing single cells in …
accuracy, streamline workflows, and reduce the tedious work of analyzing single cells in …
Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images
Diagnosis of hematological malignancies depends on accurate identification of white blood
cells in peripheral blood smears. Deep learning techniques are emerging as a viable …
cells in peripheral blood smears. Deep learning techniques are emerging as a viable …
Automated Detection of White Blood Cells and Platelets From Microscopic Images using Deep Learning Models
XMT Nguyen, VQ Nguyen - 2024 - elib.vku.udn.vn
This study focuses on the detection of white blood cells (WBCs) and platelets using deep
learning (DL) models on microscopic image data. The accurate identification and …
learning (DL) models on microscopic image data. The accurate identification and …