Radiomics: a new application from established techniques
The increasing use of biomarkers in cancer have led to the concept of personalized
medicine for patients. Personalized medicine provides better diagnosis and treatment …
medicine for patients. Personalized medicine provides better diagnosis and treatment …
Deep learning-based system for automatic melanoma detection
Melanoma is the deadliest form of skin cancer. Distinguishing melanoma lesions from non-
melanoma lesions has however been a challenging task. Many Computer Aided Diagnosis …
melanoma lesions has however been a challenging task. Many Computer Aided Diagnosis …
Towards automated melanoma detection with deep learning: Data purification and augmentation
Melanoma is one of ten most common cancers in the US. Early detection is crucial for
survival, but often the cancer is diagnosed in the fatal stage. Deep learning has the potential …
survival, but often the cancer is diagnosed in the fatal stage. Deep learning has the potential …
Discriminative feature learning for skin disease classification using deep convolutional neural network
Nowadays, skin disease among humans has been a common disease, especially in
America millions of people are suffering from various kinds of skin disease. Usually, these …
America millions of people are suffering from various kinds of skin disease. Usually, these …
Incorporating Colour Information for Computer‐Aided Diagnosis of Melanoma from Dermoscopy Images: A Retrospective Survey and Critical Analysis
Cutaneous melanoma is the most life‐threatening form of skin cancer. Although advanced
melanoma is often considered as incurable, if detected and excised early, the prognosis is …
melanoma is often considered as incurable, if detected and excised early, the prognosis is …
Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets
Convolutional neural networks have been effective in several applications, arising as a
promising supporting tool in a relevant Dermatology problem: skin cancer diagnosis …
promising supporting tool in a relevant Dermatology problem: skin cancer diagnosis …
Skin disease classification versus skin lesion characterization: Achieving robust diagnosis using multi-label deep neural networks
In this study, we investigate what a practically useful approach is in order to achieve robust
skin disease diagnosis. A direct approach is to target the ground truth diagnosis labels …
skin disease diagnosis. A direct approach is to target the ground truth diagnosis labels …
Machine learning methods for binary and multiclass classification of melanoma thickness from dermoscopic images
A Sáez, J Sánchez-Monedero… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Thickness of the melanoma is the most important factor associated with survival in patients
with melanoma. It is most commonly reported as a measurement of depth given in …
with melanoma. It is most commonly reported as a measurement of depth given in …
Whole-tumor 3D volumetric MRI-based radiomics approach for distinguishing between benign and malignant soft tissue tumors
Objectives Our purpose was to differentiate between malignant from benign soft tissue
neoplasms using a combination of MRI-based radiomics metrics and machine learning …
neoplasms using a combination of MRI-based radiomics metrics and machine learning …
Model-based classification methods of global patterns in dermoscopic images
In this paper different model-based methods of classification of global patterns in
dermoscopic images are proposed. Global patterns identification is included in the pattern …
dermoscopic images are proposed. Global patterns identification is included in the pattern …