Pap Smear Image Analysis Based on Nucleus Segmentation and Deep Learning–A Recent Review
Cervical cancer refers to a dangerous and common illness that impacts women worldwide.
Moreover, this cancer affects over 300,000 people each year, with one woman diagnosed …
Moreover, this cancer affects over 300,000 people each year, with one woman diagnosed …
Local-ternary-pattern-based associated histogram equalization technique for cervical cancer detection
S Srinivasan, ABK Raju, SK Mathivanan, P Jayagopal… - Diagnostics, 2023 - mdpi.com
Every year, cervical cancer is a leading cause of mortality in women all over the world. This
cancer can be cured if it is detected early and patients are treated promptly. This study …
cancer can be cured if it is detected early and patients are treated promptly. This study …
Multi-state colposcopy image fusion for cervical precancerous lesion diagnosis using BF-CNN
L Yan, S Li, Y Guo, P Ren, H Song, J Yang… - … Signal Processing and …, 2021 - Elsevier
Colposcopy is one of the most commonly used procedures to screen for cervical lesions in
early precancerous stages, allowing effective preventive treatments for cervical cancer …
early precancerous stages, allowing effective preventive treatments for cervical cancer …
A hybrid stacked restricted boltzmann machine with sobel directional patterns for melanoma prediction in colored skin images
Melanoma, a kind of skin cancer that is very risky, is distinguished by uncontrolled cell
multiplication. Melanoma detection is of the utmost significance in clinical practice because …
multiplication. Melanoma detection is of the utmost significance in clinical practice because …
[HTML][HTML] Multicontrast pocket colposcopy cervical cancer diagnostic algorithm for referral populations
N AsieduMercy - BME frontiers, 2022 - spj.science.org
Abstract Objective and Impact Statement. We use deep learning models to classify cervix
images—collected with a low-cost, portable Pocket colposcope—with biopsy-confirmed high …
images—collected with a low-cost, portable Pocket colposcope—with biopsy-confirmed high …
Computer-aided diagnosis of cervical dysplasia using colposcopic images
JH Ma, SF You, JS Xue, XL Li, YY Chen, Y Hu… - Frontiers in …, 2022 - frontiersin.org
Background computer-aided diagnosis of medical images is becoming more significant in
intelligent medicine. Colposcopy-guided biopsy with pathological diagnosis is the gold …
intelligent medicine. Colposcopy-guided biopsy with pathological diagnosis is the gold …
Exploring explainable artificial intelligence techniques for evaluating cervical intraepithelial neoplasia (CIN) diagnosis using colposcopy images
Although artificial intelligence techniques have performed well in analysing medical images,
it is essential to consider the degree of understanding or interpretation in evaluations. This is …
it is essential to consider the degree of understanding or interpretation in evaluations. This is …
[HTML][HTML] Automated analysis of digital medical images in cervical cancer screening: A systematic review
Background: Cervical cancer screening programs are poorly implemented in LMICs due to a
shortage of specialists and expensive diagnostic infrastructure. To address the barriers of …
shortage of specialists and expensive diagnostic infrastructure. To address the barriers of …
Identification of Acne Vulgaris Type in Facial Acne Images Using GLCM Feature Extraction and Extreme Learning Machine Algorithm
Acne vulgaris or acne is a common inflammatory pilosebaceous condition that affects up to
90% of teenagers, begins during adolescent years, and often persists into adulthood. Acne …
90% of teenagers, begins during adolescent years, and often persists into adulthood. Acne …
Edge Enhancement and Detection Approach on Cervical Cytology Images
Cervical cancer is a prevalent and fatal disease that affects women all over the world. This
affects roughly 0.5 million women annually and kills over 0.3 million people. Recently, a …
affects roughly 0.5 million women annually and kills over 0.3 million people. Recently, a …