Skin cancer classification leveraging multi-directional compact convolutional neural network ensembles and gabor wavelets
O Attallah - Scientific Reports, 2024 - nature.com
Skin cancer (SC) is an important medical condition that necessitates prompt identification to
ensure timely treatment. Although visual evaluation by dermatologists is considered the …
ensure timely treatment. Although visual evaluation by dermatologists is considered the …
[HTML][HTML] An innovative deep learning framework for skin cancer detection employing ConvNeXtV2 and focal self-attention mechanisms
The skin, the body's largest organ, plays a critical role in protection and regulation, making
its health essential. Skin cancer, one of the most prevalent malignancies, continues to rise …
its health essential. Skin cancer, one of the most prevalent malignancies, continues to rise …
Lightweight vision image transformer (LViT) model for skin cancer disease classification
T Dwivedi, BK Chaurasia, MM Shukla - International Journal of System …, 2024 - Springer
Skin cancer (SC) is a lethal disease not only in India but also in the world; there are more
than a million cases of melanoma per year in India. Early detection of skin cancer through …
than a million cases of melanoma per year in India. Early detection of skin cancer through …
EFAM-Net: A Multi-Class Skin Lesion Classification Model Utilizing Enhanced Feature Fusion and Attention Mechanisms
Skin cancer caused by common malignant tumors is a major threat to the health of patients.
Automated classification of skin lesions using computer algorithms is crucial for enhancing …
Automated classification of skin lesions using computer algorithms is crucial for enhancing …
Can deep learning effectively diagnose cardiac amyloidosis with 99mTc-PYP scintigraphy?
This study investigates the effectiveness of deep learning models in diagnosing cardiac
amyloidosis using 99mTc-PYP scintigraphy. We evaluated more than 40 deep learning …
amyloidosis using 99mTc-PYP scintigraphy. We evaluated more than 40 deep learning …
[HTML][HTML] A Hybrid Trio-Deep Feature Fusion Model for Improved Skin Cancer Classification: Merging Dermoscopic and DCT Images
O Attallah - Technologies, 2024 - mdpi.com
The precise and prompt identification of skin cancer is essential for efficient treatment.
Variations in colour within skin lesions are critical signs of malignancy; however …
Variations in colour within skin lesions are critical signs of malignancy; however …
A lightweight deep learning method to identify different types of cervical cancer
Cervical cancer is the second most common cancer in women's bodies after breast cancer.
Cervical cancer develops from dysplasia or cervical intraepithelial neoplasm (CIN), the early …
Cervical cancer develops from dysplasia or cervical intraepithelial neoplasm (CIN), the early …
Utilizing convolutional neural networks and vision transformers for precise corn leaf disease identification
Corn is not only widely used in industry but also a crucial staple food. Early detection of corn
leaf diseases is vital to prevent crop loss. Farmers and agricultural engineers often rely on …
leaf diseases is vital to prevent crop loss. Farmers and agricultural engineers often rely on …
Comparison of deep transfer learning models for classification of cervical cancer from pap smear images
H Kaur, R Sharma, J Kaur - Scientific Reports, 2025 - nature.com
Cervical cancer is one of the most commonly diagnosed cancers worldwide, and it is
particularly prevalent among women living in develo** countries. Traditional classification …
particularly prevalent among women living in develo** countries. Traditional classification …
A novel CNN-ViT-based deep learning model for early skin cancer diagnosis
Skin cancer is a serious global health issue where early detection is crucial for effective
treatment and improved patient outcomes. However, accurate diagnosis is challenging due …
treatment and improved patient outcomes. However, accurate diagnosis is challenging due …