Breast cancer detection, segmentation and classification on histopathology images analysis: a systematic review

R Krithiga, P Geetha - Archives of Computational Methods in Engineering, 2021 - Springer
Digital pathology represents a major evolution in modern medicine. Pathological
examinations constitute the standard in medical protocols and the law, and call for specific …

A survey on underwater coral image segmentation based on deep learning

M Li, H Zhang, A Gruen, D Li - Geo-spatial Information Science, 2024 - Taylor & Francis
Image-based coral reef survey technologies have revolutionized the monitoring of coral
reefs by offering a cost-effective and noninvasive method for collecting data across large …

Renal pathology images segmentation based on improved cuckoo search with diffusion mechanism and adaptive beta-hill climbing

J Chen, Z Cai, H Chen, X Chen… - Journal of Bionic …, 2023 - Springer
Lupus Nephritis (LN) is a significant risk factor for morbidity and mortality in systemic lupus
erythematosus, and nephropathology is still the gold standard for diagnosing LN. To assist …

A survey on the utilization of Superpixel image for clustering based image segmentation

B Sasmal, KG Dhal - Multimedia Tools and Applications, 2023 - Springer
Superpixel become increasingly popular in image segmentation field as it greatly helps
image segmentation techniques to segment the region of interest accurately in noisy …

Density estimation of SARS-CoV2 spike proteins using super pixels segmentation technique

BA Taha, Q Al-Jubouri, Y Al Mashhadany… - Applied soft …, 2023 - Elsevier
The worldwide outbreak of COVID-19 disease was caused by the severe acute respiratory
syndrome coronavirus 2 (SARS-CoV 2). The existence of spike proteins, which allow these …

Morphattnnet: an attention-based morphology framework for lung cancer subtype classification

A Halder, D Dey - Biomedical Signal Processing and Control, 2023 - Elsevier
Lung cancer is recognized as the most life-threatening cancer among other type of cancers
all over the world. Early stage recognition and proper diagnosis can increase the five-year …

An improved SLIC algorithm for segmentation of microscopic cell images

F He, MAP Mahmud, AZ Kouzani, A Anwar… - … Signal Processing and …, 2022 - Elsevier
Accurate nuclear and cell segmentations plays an important role in improving the accuracy
of target recognition in microscopic cell images. As the traditional SLIC (Simple Linear …

Multi-layer segmentation framework for cell nuclei using improved GVF Snake model, Watershed, and ellipse fitting

D Jia, C Zhang, N Wu, Z Guo, H Ge - Biomedical Signal Processing and …, 2021 - Elsevier
Screening of diseases including cervical cancer, breast cancer and colorectal cancer using
cell images from pap smears have been widely applied in recent years. Accurate …

Deep structured residual encoder-decoder network with a novel loss function for nuclei segmentation of kidney and breast histopathology images

AK Chanchal, S Lal, J Kini - Multimedia Tools and Applications, 2022 - Springer
To improve the process of diagnosis and treatment of cancer disease, automatic
segmentation of haematoxylin and eosin (H & E) stained cell nuclei from histopathology …

Clustering classifier of FRP strengthened concrete beams using superpixels and principal component analysis

R Perera, MC Huerta, C Barris, M Baena - Construction and Building …, 2024 - Elsevier
Nowadays, the application of Fiber Reinforced Polymer (FRP) materials in concrete
structures is more and more extended because of their advantages. However, premature …