AIMC Topic: Carcinoma, Basal Cell

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A deep learning system for differential diagnosis of skin diseases.

Nature medicine May 18, 2020
Skin conditions affect 1.9 billion people. Because of a shortage of dermatologists, most cases are seen instead by general practitioners with lower diagnostic accuracy. We present a deep learning system (DLS) to provide a differential diagnosis of sk...
Eczema Acne Vulgaris Asian Photography Physicians, Primary Care Alaska Natives Native Hawaiian or Pacific Islander Black or African American Folliculitis Nurse Practitioners Keratosis, Seborrheic Warts Dermatitis, Seborrheic Indians, North American Psoriasis Diagnosis, Differential Dermatologists Skin Diseases Hispanic or Latino Telemedicine White People Adult Male Middle Aged Deep Learning Melanoma Skin Neoplasms Carcinoma, Basal Cell Carcinoma, Squamous Cell Humans Female
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Perioperative margin detection in basal cell carcinoma using a deep learning framework: a feasibility study.

International journal of computer assisted radiology and surgery Apr 22, 2020
PURPOSE: Basal cell carcinoma (BCC) is the most commonly diagnosed cancer and the number of diagnosis is growing worldwide due to increased exposure to solar radiation and the aging population. Reduction of positive margin rates when removing BCC lea...
Humans Plastic Surgery Procedures Skin Neoplasms Margins of Excision Feasibility Studies Carcinoma, Basal Cell Sensitivity and Specificity Deep Learning
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Recognizing basal cell carcinoma on smartphone-captured digital histopathology images with a deep neural network.

The British journal of dermatology Aug 22, 2019
BACKGROUND: Pioneering effort has been made to facilitate the recognition of pathology in malignancies based on whole-slide images (WSIs) through deep learning approaches. It remains unclear whether we can accurately detect and locate basal cell carc...
Carcinoma, Basal Cell Humans Deep Learning Neural Networks, Computer Smartphone Skin Neoplasms
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Clinical-grade computational pathology using weakly supervised deep learning on whole slide images.

Nature medicine Jul 15, 2019
The development of decision support systems for pathology and their deployment in clinical practice have been hindered by the need for large manually annotated datasets. To overcome this problem, we present a multiple instance learning-based deep lea...
Humans Female Carcinoma, Basal Cell Deep Learning Decision Support Systems, Clinical Prostatic Neoplasms Breast Neoplasms Male Neoplasm Grading
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Utilization of a 3D printer to fabricate boluses used for electron therapy of skin lesions of the eye canthi.

Journal of applied clinical medical physics Nov 30, 2016
This work describes the use of 3D printing technology to create individualized boluses for patients treated with electron beam therapy for skin lesions of the eye canthi. It aimed to demonstrate the effectiveness of 3D-printed over manually fabricate...
Radiotherapy Dosage Skin Diseases Electrons Humans Quality Assurance, Health Care Carcinoma, Basal Cell Eye Diseases Carcinoma, Squamous Cell Printing, Three-Dimensional
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Adaptable texture-based segmentation by variance and intensity for automatic detection of semitranslucent and pink blush areas 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) Mar 16, 2016
BACKGROUND: Pink blush is a common feature in basal cell carcinoma (BCC). A related feature, semitranslucency, appears as smooth pink or orange regions resembling skin color. We introduce an automatic method for detection of these features based on s...
Pattern Recognition, Automated Middle Aged Colorimetry Color Image Interpretation, Computer-Assisted Female Aged Skin Neoplasms Sensitivity and Specificity Carcinoma, Basal Cell Feedback Dermoscopy Humans Male Reproducibility of Results Machine Learning Algorithms
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An unsupervised feature learning framework for basal cell carcinoma image analysis.

Artificial intelligence in medicine Apr 23, 2015
OBJECTIVE: The paper addresses the problem of automatic detection of basal cell carcinoma (BCC) in histopathology images. In particular, it proposes a framework to both, learn the image representation in an unsupervised way and visualize discriminati...
Area Under Curve Discriminant Analysis Humans Biopsy Decision Support Techniques Image Interpretation, Computer-Assisted Decision Support Systems, Clinical Automation, Laboratory Skin Neoplasms Staining and Labeling Pathology, Clinical Unsupervised Machine Learning Carcinoma, Basal Cell Predictive Value of Tests Reproducibility of Results ROC Curve
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Enhancing basal cell carcinoma classification in preoperative biopsies via transfer learning with weakly supervised graph transformers.

BMC medical imaging May 16, 2025
BACKGROUND: Basal cell carcinoma (BCC) is the most common skin cancer, placing a significant burden on healthcare systems globally. Developing high-precision automated diagnostics requires large annotated datasets, which are costly and difficult to o...
Skin Neoplasms Carcinoma, Basal Cell Biopsy Supervised Machine Learning Image Interpretation, Computer-Assisted Humans Female
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Patient-led skin cancer teledermatology without dermoscopy during the COVID-19 pandemic: important lessons for the development of future patient-facing teledermatology and artificial intelligence-assisted -self-diagnosis.

Clinical and experimental dermatology Aug 22, 2024
MySkinSelfie is a mobile phone application for skin self-monitoring, enabling secure sharing of patient-captured images with healthcare providers. This retrospective study assessed MySkinSelfie's role in remote skin cancer assessment at two centres f...
Middle Aged Mobile Applications Telemedicine Dermatology SARS-CoV-2 Aged Adult Artificial Intelligence Male COVID-19 Retrospective Studies Female Humans Referral and Consultation Carcinoma, Basal Cell Melanoma Remote Consultation Carcinoma, Squamous Cell Skin Neoplasms Dermoscopy
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Metabolomic profiling and accurate diagnosis of basal cell carcinoma by MALDI imaging and machine learning.

Experimental dermatology Jul 1, 2024
Basal cell carcinoma (BCC), the most common keratinocyte cancer, presents a substantial public health challenge due to its high prevalence. Traditional diagnostic methods, which rely on visual examination and histopathological analysis, do not includ...
Humans Machine Learning Algorithms Skin Neoplasms Carcinoma, Basal Cell Mice Sensitivity and Specificity Metabolomics Biomarkers, Tumor Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Animals
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