AIMC Topic: Skin Neoplasms

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Applying an artificial intelligence deep learning approach to routine dermatopathological diagnosis of basal cell carcinoma.

Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG Oct 9, 2023
BACKGROUND: Institutes of dermatopathology are faced with considerable challenges including a continuously rising numbers of submitted specimens and a shortage of specialized health care practitioners. Basal cell carcinoma (BCC) is one of the most co...
Humans Artificial Intelligence Carcinoma, Squamous Cell Sensitivity and Specificity Deep Learning Skin Neoplasms Carcinoma, Basal Cell
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Predicting cutaneous malignant melanoma patients' survival using deep learning: a retrospective cohort study.

Journal of cancer research and clinical oncology Sep 27, 2023
BACKGROUND: Cutaneous malignant melanoma (CMM) has the worst prognosis among skin cancers, especially metastatic CMM. Predicting its prognosis accurately could direct clinical decisions.
Melanoma Skin Neoplasms Deep Learning Humans Retrospective Studies Melanoma, Cutaneous Malignant
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Exploring and validating the prognostic value of pathomics signatures and genomics in patients with cutaneous melanoma based on bioinformatics and deep learning.

Medical physics Sep 18, 2023
BACKGROUND: Cutaneous melanoma (CM) is the most common malignant tumor of the skin. Our study aimed to investigate the prognostic value of pathomics signatures for CM by combining pathomics and genomics.
Prognosis Melanoma Skin Neoplasms Humans Computational Biology Melanoma, Cutaneous Malignant Deep Learning Genomics
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A deep learning approach based on multi-omics data integration to construct a risk stratification prediction model for skin cutaneous melanoma.

Journal of cancer research and clinical oncology Sep 7, 2023
PURPOSE: Skin cutaneous melanoma (SKCM) is a highly aggressive melanocytic carcinoma whose high heterogeneity and complex etiology make its prognosis difficult to predict. This study aimed to construct a risk subtype typing model for SKCM.
Melanoma, Cutaneous Malignant Humans Multiomics Melanoma Risk Assessment Skin Neoplasms MicroRNAs Deep Learning
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Deep Learning-Based Evaluation of Ultrasound Images for Benign Skin Tumors.

Sensors (Basel, Switzerland) Aug 24, 2023
In this study, a combined convolutional neural network for the diagnosis of three benign skin tumors was designed, and its effectiveness was verified through quantitative and statistical analysis. To this end, 698 sonographic images were taken and di...
Ultrasonography Judgment Humans Hospitals Skin Neoplasms Deep Learning
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Dermatologist versus artificial intelligence confidence in dermoscopy diagnosis: Complementary information that may affect decision-making.

Experimental dermatology Aug 3, 2023
In dermatology, deep learning may be applied for skin lesion classification. However, for a given input image, a neural network only outputs a label, obtained using the class probabilities, which do not model uncertainty. Our group developed a novel ...
Melanoma Skin Neoplasms Dermatologists Skin Diseases Dermoscopy Humans Artificial Intelligence
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Automated diagnosis of 7 canine skin tumors using machine learning on H&E-stained whole slide images.

Veterinary pathology Jul 29, 2023
Microscopic evaluation of hematoxylin and eosin-stained slides is still the diagnostic gold standard for a variety of diseases, including neoplasms. Nevertheless, intra- and interrater variability are well documented among pathologists. So far, compu...
Hematoxylin Animals Skin Neoplasms Artificial Intelligence Deep Learning Dog Diseases Dogs Reproducibility of Results Eosine Yellowish-(YS) Machine Learning
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The accuracy of artificial intelligence used for non-melanoma skin cancer diagnoses: a meta-analysis.

BMC medical informatics and decision making Jul 28, 2023
BACKGROUND: With rising incidence of skin cancer and relatively increased mortality rates, an improved diagnosis of such a potentially fatal disease is of vital importance. Although frequently curable, it nevertheless places a considerable burden upo...
Artificial Intelligence Skin Neoplasms Physical Examination Sensitivity and Specificity Humans ROC Curve
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Combining hyperspectral imaging techniques with deep learning to aid in early pathological diagnosis of melanoma.

Photodiagnosis and photodynamic therapy Jul 22, 2023
BACKGROUND: Cutaneous melanoma, an exceedingly aggressive form of skin cancer, holds the top rank in both malignancy and mortality among skin cancers. In early stages, distinguishing malignant melanomas from benign pigmented nevi pathologically becom...
Melanoma, Cutaneous Malignant Hyperspectral Imaging Photosensitizing Agents Nevus, Pigmented Photochemotherapy Early Detection of Cancer Diagnosis, Differential Humans Skin Neoplasms Melanoma Deep Learning
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Deep Learning-Based Skin Lesion Multi-class Classification with Global Average Pooling Improvement.

Journal of digital imaging Jul 5, 2023
Cancerous skin lesions are one of the deadliest diseases that have the ability in spreading across other body parts and organs. Conventionally, visual inspection and biopsy methods are widely used to detect skin cancers. However, these methods have s...
Skin Diseases Skin Neoplasms Humans Deep Learning Neural Networks, Computer Skin
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