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Breast cancer detection, segmentation and classification on histopathology images analysis: a systematic review
Digital pathology represents a major evolution in modern medicine. Pathological
examinations constitute the standard in medical protocols and the law, and call for specific …
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
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 …
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 …
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
Superpixel become increasingly popular in image segmentation field as it greatly helps
image segmentation techniques to segment the region of interest accurately in noisy …
image segmentation techniques to segment the region of interest accurately in noisy …
Density estimation of SARS-CoV2 spike proteins using super pixels segmentation technique
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 …
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
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 …
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
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 …
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 …
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
To improve the process of diagnosis and treatment of cancer disease, automatic
segmentation of haematoxylin and eosin (H & E) stained cell nuclei from histopathology …
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
Nowadays, the application of Fiber Reinforced Polymer (FRP) materials in concrete
structures is more and more extended because of their advantages. However, premature …
structures is more and more extended because of their advantages. However, premature …