[HTML][HTML] Review of in situ hybridization (ISH) stain images using computational techniques

ZU Rehman, MF Ahmad Fauzi, WSHM Wan Ahmad… - Diagnostics, 2024 - mdpi.com
Recent advancements in medical imaging have greatly enhanced the application of
computational techniques in digital pathology, particularly for the classification of breast …

Texture‐aware dual domain mapping model for low‐dose CT reconstruction

H Wang, X Zhao, W Liu, LC Li, J Ma, L Guo - Medical Physics, 2022 - Wiley Online Library
Background Remarkable progress has been made for low‐dose computed tomography (CT)
reconstruction tasks by applying deep learning techniques. However, establishing an …

Optimizations of Autoencoders for Analysis and Classification of Microscopic In Situ Hybridization Images

AA Yanev, GD Momcheva, SP Pavlov - arXiv preprint arXiv:2304.09656, 2023 - arxiv.org
Currently, analysis of microscopic In Situ Hybridization images is done manually by experts.
Precise evaluation and classification of such microscopic images can ease experts' work …

Comprehensive Review on Computational In-Situ Hybridization (Ish) Digital Pathology Using Image Analysis Techniques: Principles and Applications

ZU Rehman, WSH W Ahmad, F Ahmad Fauzi… - Faizal and Abas, Fazly … - papers.ssrn.com
In the field of digital pathology, recent advances in medical imaging have enabled us to
develop a wide range of computer applications. Breast cancer classification and analysis …