Computer vision for microscopic skin cancer diagnosis using handcrafted and non‐handcrafted features

T Saba - Microscopy Research and Technique, 2021 - Wiley Online Library
Skin covers the entire body and is the largest organ. Skin cancer is one of the most dreadful
cancers that is primarily triggered by sensitivity to ultraviolet rays from the sun. However, the …

Medical long-tailed learning for imbalanced data: bibliometric analysis

Z Wu, K Guo, E Luo, T Wang, S Wang, Y Yang… - Computer Methods and …, 2024 - Elsevier
Background In the last decade, long-tail learning has become a popular research focus in
deep learning applications in medicine. However, no scientometric reports have provided a …

An EfficientNet-based modified sigmoid transform for enhancing dermatological macro-images of melanoma and nevi skin lesions

V Venugopal, J Joseph, MV Das, MK Nath - Computer Methods and …, 2022 - Elsevier
Background and objective: During the initial stages, skin lesions may not have sufficient
intensity difference or contrast from the background region on dermatological macro-images …

[HTML][HTML] A novel approach for skin lesion symmetry classification with a deep learning model

L Talavera-Martínez, P Bibiloni, A Giacaman… - Computers in biology …, 2022 - Elsevier
Skin cancer has become a public health problem due to its increasing incidence. However,
the malignancy risk of the lesions can be reduced if diagnosed at an early stage. To do so, it …

Multi-class skin lesion classification using prism-and segmentation-based fractal signatures

JA Camacho-Gutiérrez, S Solorza-Calderón… - Expert Systems with …, 2022 - Elsevier
Today, due to technological advances, specialists can count on a wide range of computer-
aided diagnostic applications. However, there are still significant challenges to overcome …

Gcsba-net: Gabor-based and cascade squeeze bi-attention network for gland segmentation

Z Wen, R Feng, J Liu, Y Li, S Ying - IEEE Journal of Biomedical …, 2020 - ieeexplore.ieee.org
Colorectal cancer is the second and the third most common cancer in women and men,
respectively. Pathological diagnosis is the “gold standard” for tumor diagnosis. Accurate …

[HTML][HTML] Deep neural frameworks improve the accuracy of general practitioners in the classification of pigmented skin lesions

M Lucius, J De All, JA De All, M Belvisi, L Radizza… - Diagnostics, 2020 - mdpi.com
This study evaluated whether deep learning frameworks trained in large datasets can help
non-dermatologist physicians improve their accuracy in categorizing the seven most …

[HTML][HTML] Colored texture analysis fuzzy entropy methods with a dermoscopic application

M Hilal, AS Gaudêncio, PG Vaz, J Cardoso… - Entropy, 2022 - mdpi.com
Texture analysis is a subject of intensive focus in research due to its significant role in the
field of image processing. However, few studies focus on colored texture analysis and even …

Dental impression tray selection from maxillary arch images using multi-feature fusion and ensemble classifier

MA Hasan, NA Abdullah, MM Rahman, MYIB Idris… - IEEE …, 2021 - ieeexplore.ieee.org
Dental impression tray is frequently used in dentistry to record the patient's oral structure for
clinical oral diagnosis and treatment planning. Manual procedure of taking impressions is …

[HTML][HTML] An Identification Method of Feature Interpretation for Melanoma Using Machine Learning

Z Li, Q Ji, X Yang, Y Zhou, S Zhi - Applied Sciences, 2023 - mdpi.com
Melanoma is a fatal skin cancer that can be treated efficiently with early detection. There is a
pressing need for dependable computer-aided diagnosis (CAD) systems to address this …