Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on medical imaging"
DOI: 10.1109/tmi.2023.3248559
Abstract: Leukemia classification relies on a detailed cytomorphological examination of Bone Marrow (BM) smear. However, applying existing deep-learning methods to it is facing two significant limitations. Firstly, these methods require large-scale datasets with expert annotations at… read more here.
Keywords: classification; leukemia classification; information bottleneck;
Leukemia classification using the deep learning method of CNN.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of X-ray science and technology"
DOI: 10.3233/xst-211055
Abstract: BACKGROUND Processing Low-Intensity Medical Images (LI-MI) is difficult as outcomes are varied when it comes to manual examination, which is also a time-consuming process. OBJECTIVE To improve the quality of low-intensity images and identify the… read more here.
Keywords: dcnn; classification; leukemia classification; deep learning ... See more keywords
Entropy Measurements for Leukocytes’ Surrounding Informativeness Evaluation for Acute Lymphoblastic Leukemia Classification
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24111560
Abstract: The study of leukemia classification using deep learning techniques has been conducted by multiple research teams worldwide. Although deep convolutional neural networks achieved high quality of sick vs. healthy patient discrimination, their inherent lack of… read more here.
Keywords: classification; leukemia classification; entropy; deep learning ... See more keywords