[HTML][HTML] A survey on recent trends in deep learning for nucleus segmentation from histopathology images

A Basu, P Senapati, M Deb, R Rai, KG Dhal - Evolving Systems, 2024 - Springer
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 …

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 …

[HTML][HTML] Multi-scale feature retention and aggregation for colorectal cancer diagnosis using gastrointestinal images

A Haider, M Arsalan, SH Nam, JS Hong… - … Applications of Artificial …, 2023 - Elsevier
Colonoscopy is considered the gold standard for colorectal cancer diagnosis and prognosis.
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 …

[HTML][HTML] Exploring deep feature-blending capabilities to assist glaucoma screening

A Haider, M Arsalan, C Park, H Sultan, KR Park - Applied Soft Computing, 2023 - Elsevier
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 …

[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 …

Deep features aggregation-based joint segmentation of cytoplasm and nuclei in white blood cells

A Haider, M Arsalan, YW Lee… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
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 …

[HTML][HTML] All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems

S Seoni, A Shahini, KM Meiburger, F Marzola… - Computer Methods and …, 2024 - Elsevier
Abstract Background and Objectives Artificial intelligence (AI) models trained on multi-
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

A Haider, M Arsalan, SH Nam, H Sultan… - Journal of King Saud …, 2023 - Elsevier
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 …

[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 …