AIMC Topic: Biopsy
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Diagnosis of Pituitary Adenoma Biopsies by Ultrahigh Resolution Optical Coherence Tomography Using Neuronal Networks.
Frontiers in endocrinology
Oct 18, 2021
OBJECTIVE: Despite advancements of intraoperative visualization, the difficulty to visually distinguish adenoma from adjacent pituitary gland due to textural similarities may lead to incomplete adenoma resection or impairment of pituitary function. T...
A Deep Learning Pipeline for Grade Groups Classification Using Digitized Prostate Biopsy Specimens.
Sensors (Basel, Switzerland)
Oct 9, 2021
Prostate cancer is a significant cause of morbidity and mortality in the USA. In this paper, we develop a computer-aided diagnostic (CAD) system for automated grade groups (GG) classification using digitized prostate biopsy specimens (PBSs). Our CAD ...
Deep convolutional neural network-based algorithm for muscle biopsy diagnosis.
Laboratory investigation; a journal of technical methods and pathology
Oct 2, 2021
Histopathologic evaluation of muscle biopsy samples is essential for classifying and diagnosing muscle diseases. However, the numbers of experienced specialists and pathologists are limited. Although new technologies such as artificial intelligence a...
Combining multi-site magnetic resonance imaging with machine learning predicts survival in pediatric brain tumors.
Scientific reports
Sep 23, 2021
Brain tumors represent the highest cause of mortality in the pediatric oncological population. Diagnosis is commonly performed with magnetic resonance imaging. Survival biomarkers are challenging to identify due to the relatively low numbers of indiv...
Child
Image Processing, Computer-Assisted
Bayes Theorem
Neoplasm Grading
Risk Assessment
Infant
Adolescent
Child, Preschool
Diffusion Magnetic Resonance Imaging
Biopsy
Survival Analysis
Kaplan-Meier Estimate
Magnetic Resonance Angiography
Humans
Machine Learning
Brain
Female
Infant, Newborn
Brain Neoplasms
Male
Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts.
European journal of cancer (Oxford, England : 1990)
Sep 8, 2021
BACKGROUND: Multiple studies have compared the performance of artificial intelligence (AI)-based models for automated skin cancer classification to human experts, thus setting the cornerstone for a successful translation of AI-based tools into clinic...
Artificial Intelligence for Diagnosis and Gleason Grading of Prostate Cancer in Biopsies-Current Status and Next Steps.
European urology focus
Aug 12, 2021
Diagnosis and Gleason grading of prostate cancer in biopsies are critical for the clinical management of men with prostate cancer. Despite this, the high grading variability among pathologists leads to the potential for under- and overtreatment. Arti...
Automated identification of glomeruli and synchronised review of special stains in renal biopsies by machine learning and slide registration: a cross-institutional study.
Histopathology
Aug 3, 2021
AIMS: Machine learning in digital pathology can improve efficiency and accuracy via prescreening with automated feature identification. Studies using uniform histological material have shown promise. Generalised application requires validation on sli...
Quick Annotator: an open-source digital pathology based rapid image annotation tool.
The journal of pathology. Clinical research
Jul 19, 2021
Image-based biomarker discovery typically requires accurate segmentation of histologic structures (e.g. cell nuclei, tubules, and epithelial regions) in digital pathology whole slide images (WSIs). Unfortunately, annotating each structure of interest...
Deep Learning for Basal Cell Carcinoma Detection for Reflectance Confocal Microscopy.
The Journal of investigative dermatology
Jul 13, 2021
Basal cell carcinoma (BCC) is the most common skin cancer, with over 2 million cases diagnosed annually in the United States. Conventionally, BCC is diagnosed by naked eye examination and dermoscopy. Suspicious lesions are either removed or biopsied ...
BCDnet: Parallel heterogeneous eight-class classification model of breast pathology.
PloS one
Jul 12, 2021
Breast cancer is the cancer with the highest incidence of malignant tumors in women, which seriously endangers women's health. With the help of computer vision technology, it has important application value to automatically classify pathological tiss...
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