AIMC Topic: Skin Neoplasms

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Validating Automatic Concept-Based Explanations for AI-Based Digital Histopathology.

Sensors (Basel, Switzerland) Jul 18, 2022
Digital histopathology poses several challenges such as label noise, class imbalance, limited availability of labelled data, and several latent biases to deep learning, negatively influencing transparency, reproducibility, and classification performa...
Reproducibility of Results Artificial Intelligence Skin Neoplasms Humans Neural Networks, Computer
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DTP-Net: A convolutional neural network model to predict threshold for localizing the lesions on dermatological macro-images.

Computers in biology and medicine Jul 12, 2022
Highly focused images of skin captured with ordinary cameras, called macro-images, are extensively used in dermatology. Being highly focused views, the macro-images contain only lesions and background regions. Hence, the localization of lesions on th...
Humans Skin Neoplasms Image Processing, Computer-Assisted Entropy Neural Networks, Computer Algorithms
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Real-time, in vivo skin cancer triage by laser-induced plasma spectroscopy combined with a deep learning-based diagnostic algorithm.

Journal of the American Academy of Dermatology Jun 22, 2022
BACKGROUND: Although various skin cancer detection devices have been proposed, most of them are not used owing to their insufficient diagnostic accuracies. Laser-induced plasma spectroscopy (LIPS) can noninvasively extract biochemical information of ...
Humans Algorithms Triage Spectrum Analysis Sensitivity and Specificity Skin Neoplasms Deep Learning Carcinoma, Basal Cell
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Dermoscopic Image Classification of Pigmented Nevus under Deep Learning and the Correlation with Pathological Features.

Computational and mathematical methods in medicine May 28, 2022
The objective of this study was to explore the image classification and case characteristics of pigmented nevus (PN) diagnosed by dermoscopy under deep learning. 268 patients were included as the research objects and they were randomly divided into o...
Deep Learning Skin Neoplasms Nevus, Pigmented Humans Nevus Dermoscopy Melanoma
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A deep learning approach to detect blood vessels in basal cell carcinoma.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) May 25, 2022
PURPOSE: Blood vessels called telangiectasia are visible in skin lesions with the aid of dermoscopy. Telangiectasia are a pivotal identifying feature of basal cell carcinoma. These vessels appear thready, serpiginous, and may also appear arborizing, ...
Skin Diseases Telangiectasis Humans Skin Neoplasms Dermoscopy Deep Learning Carcinoma, Basal Cell
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An Effective Skin Cancer Classification Mechanism via Medical Vision Transformer.

Sensors (Basel, Switzerland) May 25, 2022
Skin Cancer (SC) is considered the deadliest disease in the world, killing thousands of people every year. Early SC detection can increase the survival rate for patients up to 70%, hence it is highly recommended that regular head-to-toe skin examinat...
Skin Neoplasms Early Detection of Cancer Neural Networks, Computer Machine Learning Humans
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Computer-aided detection and segmentation of malignant melanoma lesions on whole-body F-FDG PET/CT using an interpretable deep learning approach.

Computer methods and programs in biomedicine May 22, 2022
BACKGROUND AND OBJECTIVE: In oncology, 18-fluorodeoxyglucose (F-FDG) positron emission tomography (PET) / computed tomography (CT) is widely used to identify and analyse metabolically-active tumours. The combination of the high sensitivity and specif...
Humans Positron-Emission Tomography Deep Learning Melanoma Radiopharmaceuticals Positron Emission Tomography Computed Tomography Computers Fluorodeoxyglucose F18 Skin Neoplasms Melanoma, Cutaneous Malignant
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Categorization of Common Pigmented Skin Lesions (CPSL) using Multi-Deep Features and Support Vector Machine.

Journal of digital imaging May 6, 2022
The skin is the main organ. It is approximately 8 pounds for the average adult. Our skin is a truly wonderful organ. It isolates us and shields our bodies from hazards. However, the skin is also vulnerable to damage and distracted from its original a...
Skin Neoplasms Adult Support Vector Machine Skin Humans Algorithms
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Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification.

IEEE transactions on medical imaging May 2, 2022
Deep convolutional neural network (DCNN) models have been widely explored for skin disease diagnosis and some of them have achieved the diagnostic outcomes comparable or even superior to those of dermatologists. However, broad implementation of DCNN ...
Skin Neoplasms Deep Learning Humans Neural Networks, Computer Skin Skin Diseases
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A Novel Hybrid Deep Learning Approach for Skin Lesion Segmentation and Classification.

Journal of healthcare engineering Apr 18, 2022
Skin cancer is one of the most common diseases that can be initially detected by visual observation and further with the help of dermoscopic analysis and other tests. As at an initial stage, visual observation gives the opportunity of utilizing artif...
Dermoscopy Humans Deep Learning Artificial Intelligence Skin Diseases Skin Neoplasms
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