[HTML][HTML] Machine learning and deep learning methods for skin lesion classification and diagnosis: a systematic review
Computer-aided systems for skin lesion diagnosis is a growing area of research. Recently,
researchers have shown an increasing interest in developing computer-aided diagnosis …
researchers have shown an increasing interest in developing computer-aided diagnosis …
[HTML][HTML] New trends in melanoma detection using neural networks: a systematic review
D Popescu, M El-Khatib, H El-Khatib, L Ichim - Sensors, 2022 - mdpi.com
Due to its increasing incidence, skin cancer, and especially melanoma, is a serious health
disease today. The high mortality rate associated with melanoma makes it necessary to …
disease today. The high mortality rate associated with melanoma makes it necessary to …
Region extraction and classification of skin cancer: A heterogeneous framework of deep CNN features fusion and reduction
Cancer is one of the leading causes of deaths in the last two decades. It is either diagnosed
malignant or benign–depending upon the severity of the infection and the current stage. The …
malignant or benign–depending upon the severity of the infection and the current stage. The …
A hierarchical three-step superpixels and deep learning framework for skin lesion classification
Skin cancer is one of the most common and dangerous cancer that exists worldwide.
Malignant melanoma is one of the most dangerous skin cancer types has a high mortality …
Malignant melanoma is one of the most dangerous skin cancer types has a high mortality …
Deep learning applications for hyperspectral imaging: a systematic review
A Ozdemir, K Polat - Journal of the Institute of Electronics and …, 2020 - iecscience.org
Since the acquisition of digital images, scientific studies on these images have been making
significant progress. The sizes and quality of the images obtained have increased greatly …
significant progress. The sizes and quality of the images obtained have increased greatly …
[HTML][HTML] A multilevel features selection framework for skin lesion classification
Melanoma is considered to be one of the deadliest skin cancer types, whose occurring
frequency elevated in the last few years; its earlier diagnosis, however, significantly …
frequency elevated in the last few years; its earlier diagnosis, however, significantly …
Multi-class skin diseases classification using deep convolutional neural network and support vector machine
Globally, skin diseases are the fourth leading cause of non-fatal disease burden. Both high
and low-income countries suffer from this burden; indicates the prevention of skin diseases …
and low-income countries suffer from this burden; indicates the prevention of skin diseases …
Microscopic skin laceration segmentation and classification: A framework of statistical normal distribution and optimal feature selection
Among precision medical techniques, medical image processing is rapidly growing as a
successful tool for cancer detection. Skin cancer is one of the crucial cancer types. It is …
successful tool for cancer detection. Skin cancer is one of the crucial cancer types. It is …
Knowledge-aware deep framework for collaborative skin lesion segmentation and melanoma recognition
Deep learning techniques have shown their superior performance in dermatologist clinical
inspection. Nevertheless, melanoma diagnosis is still a challenging task due to the difficulty …
inspection. Nevertheless, melanoma diagnosis is still a challenging task due to the difficulty …
MelaNet: an effective deep learning framework for melanoma detection using dermoscopic images
Skin cancer is considered one of the most dangerous and popular sorts of cancer. The
deadliest form of this type of cancer is called melanoma, it happens while pigmented cells …
deadliest form of this type of cancer is called melanoma, it happens while pigmented cells …