Real-time detection of cracks in tiled sidewalks using YOLO-based method applied to unmanned aerial vehicle (UAV) images
The conventional method of manually verifying the quality of tiled sidewalks is laborious,
because of the time-consuming identification of cracks from numerous grid-like elements of …
because of the time-consuming identification of cracks from numerous grid-like elements of …
Deep convolutional neural networks information fusion and improved whale optimization algorithm based smart oral squamous cell carcinoma classification …
M Meer, MA Khan, K Jabeen, AI Alzahrani… - Expert …, 2025 - Wiley Online Library
The most prevalent type of cancer worldwide is mouth cancer. Around 2.5% of deaths are
reported annually due to oral cancer in 2023. Early diagnosis of oral squamous cell …
reported annually due to oral cancer in 2023. Early diagnosis of oral squamous cell …
Skin Cancer Lesion Detection Using Improved CNN Techniques
The mechanized melanoma detection in dermoscopy pictures is highly challenging. This is
because of the low differentiation of skin sores, the tremendous interclass variety of …
because of the low differentiation of skin sores, the tremendous interclass variety of …
Ön Eğitimli Evrişimsel Sinir Ağı Modellerinde Öznitelik Seçim Algoritmasını Kullanarak Cilt Lezyon Görüntülerinin Sınıflandırılması
B Tasci - Fırat Üniversitesi Mühendislik Bilimleri Dergisi, 2022 - dergipark.org.tr
Dünya Sağlık Örgütü tarafından belirtildiği gibi, cilt kanseri oluşumu son yıllarda artmaktadır.
Her yıl dünya çapında 2 ila 3 milyon arasında melanom dışı cilt kanseri ve en az 132.000 …
Her yıl dünya çapında 2 ila 3 milyon arasında melanom dışı cilt kanseri ve en az 132.000 …
A Comparative Analysis of Skin Cancer Detection Applications Using Histogram-Based Local Descriptors
Y Aydin - Diagnostics, 2023 - mdpi.com
Among the most serious types of cancer is skin cancer. Despite the risk of death, when
caught early, the rate of survival is greater than 95%. This inspires researchers to explore …
caught early, the rate of survival is greater than 95%. This inspires researchers to explore …
Detection of benign and malignant skin cancer from dermoscopic images using modified deep residual learning model
Skin cancer is caused by the uncontrolled proliferation of cells on the skin surface due to
damaged DNA structures of them and is among the most common cancer types in the world …
damaged DNA structures of them and is among the most common cancer types in the world …
Hybrid Convolutional Neural Network and Support Vector Machine Based on Model Optimization for Skin Cancer Classification
Skin cancer is common cancer in humans and can cause death. Handling early symptoms
with the proper treatment can help patients to have a greater chance of life. The accuracy of …
with the proper treatment can help patients to have a greater chance of life. The accuracy of …
Classification of skin cancer using VGGNet model structures
Skin cancer is one of the most common type of cancer in humans. This type of cancer is
produced by skin cells called melanocytes and occurs as a result of division and …
produced by skin cells called melanocytes and occurs as a result of division and …