Pathology

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

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Artificial intelligence as the next step towards precision pathology.

Pathology is the cornerstone of cancer care. The need for accuracy in histopathologic diagnosis of c...

Mar 2020 32128929
DeepSurvNet: deep survival convolutional network for brain cancer survival rate classification based on histopathological images.

Histopathological whole slide images of haematoxylin and eosin (H&E)-stained biopsies contain valuab...

Mar 2020 32124225
Bioinspired Soft Robot with Incorporated Microelectrodes.

Bioinspired soft robotic systems that mimic living organisms using engineered muscle tissue and biom...

Feb 2020 32176200
Tabu Search and Machine-Learning Classification of Benign and Malignant Proliferative Breast Lesions.

Breast cancer is the most diagnosed cancer among women around the world. The development of computer...

Feb 2020 32258124
Software-assisted decision support in digital histopathology.

Tissue diagnostics is the world of pathologists, and it is increasingly becoming digitalised to leve...

Feb 2020 31994192
Label-Free Leukemia Monitoring by Computer Vision.

Acute lymphoblastic leukemia (ALL) is the most common childhood cancer. While there are a number of ...

Feb 2020 32091180
Same same but different: A Web-based deep learning application revealed classifying features for the histopathologic distinction of cortical malformations.

OBJECTIVE: The microscopic review of hematoxylin-eosin-stained images of focal cortical dysplasia ty...

Feb 2020 32080846
Machine learning to predict developmental neurotoxicity with high-throughput data from 2D bio-engineered tissues.

There is a growing need for fast and accurate methods for testing developmental neurotoxicity across...

Feb 2020 32181450
Basal and Infectious Enteritis in Broilers Under the I See Inside Methodology: A Chronological Evaluation.

Recently, the inflammation of the intestinal mucosa has been related to many diseases in humans and ...

Feb 2020 32118051
Cellular and Molecular Probing of Intact Human Organs.

Optical tissue transparency permits scalable cellular and molecular investigation of complex tissues...

Feb 2020 32059778
Fully automated plaque characterization in intravascular OCT images using hybrid convolutional and lumen morphology features.

For intravascular OCT (IVOCT) images, we developed an automated atherosclerotic plaque characterizat...

Feb 2020 32054895
Breast Cancer Classification in Automated Breast Ultrasound Using Multiview Convolutional Neural Network with Transfer Learning.

To assist radiologists in breast cancer classification in automated breast ultrasound (ABUS) imaging...

Feb 2020 32059918
Cell Image Classification: A Comparative Overview.

Cell image classification methods are currently being used in numerous applications in cell biology ...

Feb 2020 32040260
Accuracy of a machine learning muscle MRI-based tool for the diagnosis of muscular dystrophies.

OBJECTIVE: Genetic diagnosis of muscular dystrophies (MDs) has classically been guided by clinical p...

Feb 2020 32029545
Multiparametric radiomics methods for breast cancer tissue characterization using radiological imaging.

BACKGROUND AND PURPOSE: Multiparametric radiological imaging is vital for detection, characterizatio...

Feb 2020 32020435
Automatic diagnosis for thyroid nodules in ultrasound images by deep neural networks.

Thyroid cancer is a disease in which the first symptom is a nodule in the thyroid region of the neck...

Feb 2020 32062156
SDCT-AuxNet: DCT augmented stain deconvolutional CNN with auxiliary classifier for cancer diagnosis.

Acute lymphoblastic leukemia (ALL) is a pervasive pediatric white blood cell cancer across the globe...

Feb 2020 32066066
A deep learning approach to radiation dose estimation.

Currently methods for predicting absorbed dose after administering a radiopharmaceutical are rather ...

Feb 2020 31881547
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images.

Digital histology images are amenable to the application of convolutional neural networks (CNNs) for...

Feb 2020 32012004
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