IEEE

Improved Lung Cancer Detection with a CNN-SMOTE Approach

Abstract: Lung cancer remains one of the most fatal malignancies worldwide, emphasizing the importance of accurate and early detection. This research presents an enhanced deep learning-based ...
IEEE

Hybrid Deep Learning Framework for Real-Time Oral Cancer Detection and Prevention Using Multi-Model CNN Integration

Abstract: Early identification is essential for increasing treatment outcomes and survival rates for oral cancer, a serious worldwide health concern. Conventional diagnostic techniques are ...
Renal & Urology News

Bladder Cancer Detection After Hematuria Shows Progress, Early Intervention Cuts Mortality

Oncuria-Detect and EarlyTect BCD Plus assays may promote earlier detection of bladder cancer following hematuria. When hematuria is emergent, prompt investigation and diagnosis can be lifesaving. The ...
IEEE

Genetic Algorithm-Tuned CNN–SVM Hybrid Model for Early and Accurate Detection of Breast Cancer

Abstract: Breast cancer remains one of the leading causes of mortality among women worldwide, necessitating early and precise detection methods. Traditional models often struggle with imbalanced data, ...
IEEE

Automated Lung Cancer Detection from CT Images Using Hybrid GLCM-CNN Features and SVM Classification with ROI Localization

Abstract: Lung cancer is a major problem of cancer-related deaths, and its survival rate is closely tied to early and accurate diagnosis. Computed Tomography (CT) imaging is mostly used for lung ...
IEEE

Skin Cancer Lesion Detection using CNN with HAM10000 Dataset

Abstract: Skin cancer represents a significant global health challenge, necessitating the development of accurate and accessible diagnostic tools for early detection. Traditional diagnosis of ...