[HTML][HTML] Computational pathology: a survey review and the way forward

MS Hosseini, BE Bejnordi, VQH Trinh, L Chan… - Journal of Pathology …, 2024 - Elsevier
Abstract Computational Pathology (CPath) is an interdisciplinary science that augments
developments of computational approaches to analyze and model medical histopathology …

AGAR a microbial colony dataset for deep learning detection

S Majchrowska, J Pawłowski, G Guła, T Bonus… - arXiv preprint arXiv …, 2021 - arxiv.org
The Annotated Germs for Automated Recognition (AGAR) dataset is an image database of
microbial colonies cultured on agar plates. It contains 18000 photos of five different …

Kimianet: Training a deep network for histopathology using high-cellularity

A Riasatian - 2020 - uwspace.uwaterloo.ca
With the recent progress in deep learning, one of the common approaches to represent
images is extracting deep features. A primitive way to do this is by using off-the-shelf models …

Machine Learning Techniques for Time Series Regression in Unmonitored Environmental Systems

JD Willard - 2023 - search.proquest.com
This thesis provides a computer science audience with a review of machine learning
techniques for modeling time series in unmonitored environmental systems with no …