Pathology

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

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Thyroid Nodule Malignancy Risk Stratification Using a Convolutional Neural Network.

This study evaluates the performance of convolutional neural networks (CNNs) in risk stratifying the...

Jun 2020 32511208
Multifunctional surface microrollers for targeted cargo delivery in physiological blood flow.

Mobile microrobots offer great promise for minimally invasive targeted medical theranostic applicati...

May 2020 33022624
Artificial Intelligence Will Not Replace Health Professionals, but the Proper Use of Artificial Intelligence Will Make Health Professionals Better.

Deep learning has enabled great advances to be made in cancer research with regards to diagnosis, pr...

May 2020 32414836
Developments in the follow-up of nonmuscle invasive bladder cancer: what did we learn in the last 24 months: a critical review.

PURPOSE OF REVIEW: Patients with nonmuscle invasive bladder cancer (NMIBC) have a high risk of recur...

May 2020 32141938
Deep-Learning-Based Characterization of Tumor-Infiltrating Lymphocytes in Breast Cancers From Histopathology Images and Multiomics Data.

PURPOSE: Tumor-infiltrating lymphocytes (TILs) and their spatial characterizations on whole-slide im...

May 2020 32453636
[Research status and trend of artificial intelligence in the diagnosis of urinary diseases].

Recently, artificial intelligence (AI) has been widely applied in the diagnosis and treatment of uri...

Apr 2020 32329274
Generative and discriminative model-based approaches to microscopic image restoration and segmentation.

Image processing is one of the most important applications of recent machine learning (ML) technolog...

Apr 2020 32215571
[Multi-feature Extraction and Classification of Breast Tumor in Ultrasound Image].

OBJECTIVE: Feature extraction of breast tumors is very important in the breast tumor detection (beni...

Apr 2020 32762200
ImPLoc: a multi-instance deep learning model for the prediction of protein subcellular localization based on immunohistochemistry images.

MOTIVATION: The tissue atlas of the human protein atlas (HPA) houses immunohistochemistry (IHC) imag...

Apr 2020 31804670
Computational cannula microscopy of neurons using neural networks.

Computational cannula microscopy is a minimally invasive imaging technique that can enable high-reso...

Apr 2020 32236081
Discriminating malignant and benign clinical T1 renal masses on computed tomography: A pragmatic radiomics and machine learning approach.

The aim of this study was to discriminate malignant and benign clinical T1 renal masses on routinely...

Apr 2020 32311963
Uncovering tissue-specific binding features from differential deep learning.

Transcription factors (TFs) can bind DNA in a cooperative manner, enabling a mutual increase in occu...

Mar 2020 31974574
MLCD: A Unified Software Package for Cancer Diagnosis.

PURPOSE: Machine Learning Package for Cancer Diagnosis (MLCD) is the result of a National Institutes...

Mar 2020 32216637
Texture analysis and machine learning algorithms accurately predict histologic grade in small (< 4 cm) clear cell renal cell carcinomas: a pilot study.

PURPOSE: To predict the histologic grade of small clear cell renal cell carcinomas (ccRCCs) using te...

Mar 2020 31822969
Machine Learning for Analysis of Microscopy Images: A Practical Guide.

The explosive growth of machine learning has provided scientists with insights into data in ways una...

Mar 2020 31904918
Computer-assisted Diagnosis of Breast Cancer by Cell Network Matrix Extraction and Multilayer Perceptron Analysis.

OBJECTIVE: Diagnosis of breast cancer is based on identification of various morphologic features by ...

Mar 2020 32366554
[Deep learning network-based recognition and localization of diatom images against complex background].

We propose a deep learning network-based method for recognizing and locating diatom targets with int...

Feb 2020 32376534
[Artificial intelligence empowers laboratory medicine in Industry 4.0].

Since 2017, China, the United States, and the European Union have successively issued national-level...

Feb 2020 32376538
[Prediction of gene mutation in lung cancer based on deep learning and histomorphology analysis].

Lung cancer is a most common malignant tumor of the lung and is the cancer with the highest morbidit...

Feb 2020 32096372
Highly accurate and explainable detection of specimen mix-up using a machine learning model.

Background Delta check is widely used for detecting specimen mix-ups. Owing to the inadequate specif...

Feb 2020 32031970
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