[HTML][HTML] A survey on recent trends in deep learning for nucleus segmentation from histopathology images
Nucleus segmentation is an imperative step in the qualitative study of imaging datasets,
considered as an intricate task in histopathology image analysis. Segmenting a nucleus is …
considered as an intricate task in histopathology image analysis. Segmenting a nucleus is …
Effectiveness of artificial intelligence for personalized medicine in neoplasms: a systematic review
S Rezayi, SR Niakan Kalhori… - BioMed research …, 2022 - Wiley Online Library
Purpose. Artificial intelligence (AI) techniques are used in precision medicine to explore
novel genotypes and phenotypes data. The main aims of precision medicine include early …
novel genotypes and phenotypes data. The main aims of precision medicine include early …
[HTML][HTML] Multi-scale feature retention and aggregation for colorectal cancer diagnosis using gastrointestinal images
Colonoscopy is considered the gold standard for colorectal cancer diagnosis and prognosis.
However, existing methods are less accurate and prone to overlooking lesions during …
However, existing methods are less accurate and prone to overlooking lesions during …
[HTML][HTML] DSRD-Net: Dual-stream residual dense network for semantic segmentation of instruments in robot-assisted surgery
T Mahmood, SW Cho, KR Park - Expert Systems with Applications, 2022 - Elsevier
In conventional robot-assisted minimally invasive procedures (RMIS), surgeons have narrow
visual and complex working spaces, along with specular reflection, blood, camera-lens …
visual and complex working spaces, along with specular reflection, blood, camera-lens …
[HTML][HTML] Exploring deep feature-blending capabilities to assist glaucoma screening
Over the last three decades, computer vision has had a vital role in the healthcare sector by
providing soft computing-based robust and intelligent diagnostic solutions. Glaucoma is a …
providing soft computing-based robust and intelligent diagnostic solutions. Glaucoma is a …
[HTML][HTML] Optimized detection and segmentation of nuclei in gastric cancer images using stain normalization and blurred artifact removal
O Martos, MZ Hoque, A Keskinarkaus, N Kemi… - … -Research and Practice, 2023 - Elsevier
Histological analysis with microscopy is the gold standard to diagnose and stage cancer,
where slides or whole slide images are analyzed for cell morphological and spatial features …
where slides or whole slide images are analyzed for cell morphological and spatial features …
Deep features aggregation-based joint segmentation of cytoplasm and nuclei in white blood cells
White blood cells (WBCs), also known as leukocytes, are one of the valuable parts of the
blood and immune system. Typically, pathologists use microscope for the manual inspection …
blood and immune system. Typically, pathologists use microscope for the manual inspection …
[HTML][HTML] All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems
Abstract Background and Objectives Artificial intelligence (AI) models trained on multi-
centric and multi-device studies can provide more robust insights and research findings …
centric and multi-device studies can provide more robust insights and research findings …
[HTML][HTML] Computer-aided fish assessment in an underwater marine environment using parallel and progressive spatial information fusion
Fish assessment and monitoring are important for the development of a modern aquatic
ecosystem. Fish are a vital part of the marine and freshwater environments. Morphological …
ecosystem. Fish are a vital part of the marine and freshwater environments. Morphological …
[HTML][HTML] Artificial intelligence-based classification of pollen grains using attention-guided pollen features aggregation network
T Mahmood, J Choi, KR Park - Journal of King Saud University-Computer …, 2023 - Elsevier
Visual classification of pollen grains is crucial for various agricultural applications,
particularly for the protection, monitoring, and tracking of flora to preserve the biome and …
particularly for the protection, monitoring, and tracking of flora to preserve the biome and …