AIMC Topic: Skin Neoplasms

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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...
Deep Learning Dogs Dog Diseases Reproducibility of Results Animals Eosine Yellowish-(YS) Hematoxylin Machine Learning Skin Neoplasms Artificial Intelligence
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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...
Humans Artificial Intelligence Skin Neoplasms Physical Examination Sensitivity and Specificity 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...
Photosensitizing Agents Nevus, Pigmented Hyperspectral Imaging Photochemotherapy Skin Neoplasms Humans Diagnosis, Differential Deep Learning Melanoma Melanoma, Cutaneous Malignant Early Detection of Cancer
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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...
Humans Deep Learning Skin Skin Diseases Neural Networks, Computer Skin Neoplasms
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A survey on deep learning for skin lesion segmentation.

Medical image analysis Jun 9, 2023
Skin cancer is a major public health problem that could benefit from computer-aided diagnosis to reduce the burden of this common disease. Skin lesion segmentation from images is an important step toward achieving this goal. However, the presence of ...
Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Skin Diseases Skin Neoplasms Humans Diagnosis, Computer-Assisted
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Deep learning-based scoring of tumour-infiltrating lymphocytes is prognostic in primary melanoma and predictive to PD-1 checkpoint inhibition in melanoma metastases.

EBioMedicine Jun 7, 2023
BACKGROUND: Recent advances in digital pathology have enabled accurate and standardised enumeration of tumour-infiltrating lymphocytes (TILs). Here, we aim to evaluate TILs as a percentage electronic TIL score (eTILs) and investigate its prognostic a...
Neoplasm Recurrence, Local Melanoma, Cutaneous Malignant Deep Learning Lymphocytes, Tumor-Infiltrating Melanoma Skin Neoplasms Humans Prognosis
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Classification of skin cancer stages using a AHP fuzzy technique within the context of big data healthcare.

Journal of cancer research and clinical oncology May 2, 2023
BACKGROUND AND OBJECTIVES: Skin conditions in humans can be challenging to diagnose. Skin cancer manifests itself without warning. In the future, these illnesses, which have been an issue for many, will be identified and treated. With the rapid expan...
Algorithms Delivery of Health Care Big Data Support Vector Machine Skin Neoplasms Fuzzy Logic Humans
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Deep learning detection of melanoma metastases in lymph nodes.

European journal of cancer (Oxford, England : 1990) Apr 29, 2023
BACKGROUND: In melanoma patients, surgical excision of the first draining lymph node, the sentinel lymph node (SLN), is a routine procedure to evaluate lymphogenic metastases. Metastasis detection by histopathological analysis assesses multiple tissu...
Lymphadenopathy Lymph Nodes Lymphatic Metastasis Artificial Intelligence Skin Neoplasms Lymph Node Excision Humans Melanoma Sentinel Lymph Node Biopsy Deep Learning
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Progressive growing of Generative Adversarial Networks for improving data augmentation and skin cancer diagnosis.

Artificial intelligence in medicine Apr 28, 2023
Early melanoma diagnosis is the most important factor in the treatment of skin cancer and can effectively reduce mortality rates. Recently, Generative Adversarial Networks have been used to augment data, prevent overfitting and improve the diagnostic...
Skin Neoplasms Algorithms Deep Learning Melanoma Humans Neural Networks, Computer
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Deep learning-based semantic segmentation of non-melanocytic skin tumors in whole-slide histopathological images.

Experimental dermatology Apr 5, 2023
Basal cell carcinoma (BCC) and squamous cell carcinoma (SCC) are the two most common skin cancer and impose a huge medical burden on society. Histopathological examination based on whole-slide images (WSIs) remains to be the confirmatory diagnostic m...
Image Processing, Computer-Assisted Semantics Carcinoma, Squamous Cell Deep Learning Humans Skin Neoplasms Carcinoma, Basal Cell
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