Nettet19. apr. 2024 · Histopathology: Vol 78, No 6 Volume 78, Issue 6 Pages: 779-916 May 2024 Previous Issue Next Issue GO TO SECTION Issue Information Free Access … Nettet7. mar. 2024 · Deep learning (DL) and convolutional neural networks (CNNs) have achieved state-of-the-art performance in many medical image analysis tasks. Histopathological images contain valuable information that can be used to diagnose diseases and create treatment plans. Therefore, the application of DL for the …
Journal of Histotechnology - SCImago Journal Rank
NettetAbout the journal Formerly known as Current Diagnostic Pathology; Aims & Scope This monthly review journal aims to provide the practising diagnostic pathologist and trainee pathologist with up-to-date reviews on histopathology and … NettetHistopathology Awards; Diversity Statement; Follow journal. Alert; Twitter channel; RSS Feeds. Most recent (RSS) Most cited (RSS) Annual Review Issues 2024 Breast … c3 O\u0027Rourke
Histology and Histopathology
Nettet10. apr. 2024 · In this paper, we propose ADS UNet, a stage-wise additive training algorithm that incorporates resource-efficient deep supervision in shallower layers and takes performance-weighted combinations of the sub-UNets to create the segmentation model. We provide empirical evidence on three histopathology datasets to support the … Nettet9. apr. 2024 · Deep learning methods have emerged as powerful tools for analyzing histopathological images, but current methods are often specialized for specific domains and software environments, and few open-source options exist for deploying models in an interactive interface. Experimenting with different deep learning approaches typically … Nettet1. des. 1990 · Histopathologyis an international journal intended to be of practical value to surgical and diagnostic histopathologists and to investigators of human disease who employ histopathological ... c3 organ\u0027s