Pathology

Latest AI and machine learning research in pathology for healthcare professionals.

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Investigating the Role of Image Fusion in Brain Tumor Classification Models Based on Machine Learning Algorithm for Personalized Medicine.

Image fusion can be performed on images either in spatial domain or frequency domain methods. Freque...

Feb 2022 35178119
Deep Multi-Feature Transfer Network for Fourier Ptychographic Microscopy Imaging Reconstruction.

Fourier ptychographic microscopy (FPM) is a potential imaging technique, which is used to achieve wi...

Feb 2022 35161982
Artificial intelligence and deep learning to map immune cell types in inflamed human tissue.

Biopsies of inflammatory tissue contain a complex network of interacting cells, orchestrating the im...

Feb 2022 35131237
Artificial intelligence and melanoma: A comprehensive review of clinical, dermoscopic, and histologic applications.

Melanoma detection, prognosis, and treatment represent challenging and complex areas of cutaneous on...

Feb 2022 35038383
Adaptive biohybrid pumping machine with flow loop feedback.

Tissue-engineered living machines is an emerging discipline that employs complex interactions betwee...

Feb 2022 35045402
Quantitative features to assist in the diagnostic assessment of chronic lymphocytic leukemia progression.

The use of artificial intelligence methods in the image-based diagnostic assessment of hematological...

Feb 2022 34928523
Classification of subtypes including LCNEC in lung cancer biopsy slides using convolutional neural network from scratch.

Identifying the lung carcinoma subtype in small biopsy specimens is an important part of determining...

Feb 2022 35115593
Genetic Algorithms for Optimized Diagnosis of Alzheimer's Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.

Genetic algorithms have a proven capability to explore a large space of solutions, and deal with ver...

Feb 2022 35185510
Incorporating uncertainty in learning to defer algorithms for safe computer-aided diagnosis.

Deep neural networks are increasingly being used for computer-aided diagnosis, but erroneous diagnos...

Feb 2022 35110629
Unsupervised deep learning based approach to temperature monitoring in focused ultrasound treatment.

Temperature monitoring in ultrasound (US) imaging is important for various medical treatments, such ...

Feb 2022 35134653
The Herbarium 2021 Half-Earth Challenge Dataset and Machine Learning Competition.

Herbarium sheets present a unique view of the world's botanical history, evolution, and biodiversity...

Feb 2022 35178056
A deep learning-based method for the diagnosis of vertebral fractures on spine MRI: retrospective training and validation of ResNet.

PURPOSE: To improve the performance of less experienced clinicians in the diagnosis of benign and ma...

Jan 2022 35089420
Validation of a deep learning-based image analysis system to diagnose subclinical endometritis in dairy cows.

The assessment of polymorphonuclear leukocyte (PMN) proportions (%) of endometrial samples is the ha...

Jan 2022 35089986
Explainable artificial intelligence (XAI): closing the gap between image analysis and navigation in complex invasive diagnostic procedures.

LITERATURE REVIEW: Cystoscopy is the gold standard for initial macroscopic assessments of the human ...

Jan 2022 35084542
Frameless robot-assisted stereotactic biopsies for lesions of the brainstem-a series of 103 consecutive biopsies.

PURPOSE: Targeted treatment for brainstem lesions requires above all a precise histopathological and...

Jan 2022 35083580
Disease-Specific Imaging Utilizing Support Vector Machine Classification of H-Scan Parameters: Assessment of Steatosis in a Rat Model.

In medical imaging, quantitative measurements have shown promise in identifying diseases by classify...

Jan 2022 34936555
Breast lesions classifications of mammographic images using a deep convolutional neural network-based approach.

Breast cancer is one of the worst illnesses, with a higher fatality rate among women globally. Breas...

Jan 2022 35085352
Deep learning in CT colonography: differentiating premalignant from benign colorectal polyps.

OBJECTIVES: To investigate the differentiation of premalignant from benign colorectal polyps detecte...

Jan 2022 35083528
Deep Learning for Detecting Pneumothorax on Chest Radiographs after Needle Biopsy: Clinical Implementation.

Background Accurate detection of pneumothorax on chest radiographs, the most common complication of ...

Jan 2022 35076301
A deep learning model for breast ductal carcinoma in situ classification in whole slide images.

The pathological differential diagnosis between breast ductal carcinoma in situ (DCIS) and invasive ...

Jan 2022 35076741
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