Pathology

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

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PathFlowAI: A High-Throughput Workflow for Preprocessing, Deep Learning and Interpretation in Digital Pathology.

The diagnosis of disease often requires analysis of a biopsy. Many diagnoses depend not only on the ...

Jan 2020 31797614
The coming 15 years in gynaecological pathology: digitisation, artificial intelligence, and new technologies.

Surgical pathology forms the cornerstone of modern oncological medicine, owing to the wealth of clin...

Jan 2020 31846526
Overview of Computer Aided Detection and Computer Aided Diagnosis Systems for Lung Nodule Detection in Computed Tomography.

BACKGROUND: Lung cancer has become a major cause of cancer-related deaths. Detection of potentially ...

Jan 2020 31989890
Deep Learning Computer-Aided Diagnosis for Breast Lesion in Digital Mammogram.

For computer-aided diagnosis (CAD), detection, segmentation, and classification from medical imagery...

Jan 2020 32030663
Automated sample preparation with SP3 for low-input clinical proteomics.

High-throughput and streamlined workflows are essential in clinical proteomics for standardized proc...

Jan 2020 32129943
Detection of Disease-Specific Parent Cells Via Distinct Population of Nano-Vesicles by Machine Learning.

BACKGROUND: The diagnosis and prognosis of pathological conditions, such as age-related macular dege...

Jan 2020 32321392
[Diagnosis of malignant pleural effusions using convolutional neural networks by the morphometric image analysis of facies of pleural exudate].

OBJECTIVE: To estimate the possibility of diagnosis of malignant pleural effusion using convolutiona...

Jan 2020 32500688
A Survey on Machine Learning Algorithms for the Diagnosis of Breast Masses with Mammograms.

Breast cancer is leading cancer among women for the past 60 years. There are no effective mechanisms...

Jan 2020 32723235
Classification of Benign and Malignant Breast Masses on Mammograms for Large Datasets using Core Vector Machines.

BACKGROUND: Breast cancer is one of the most leading causes of cancer deaths among women. Early dete...

Jan 2020 32723242
Automated Gleason grading of prostate cancer using transfer learning from general-purpose deep-learning networks.

Two deep-learning algorithms designed to classify images according to the Gleason grading system tha...

Jan 2020 32747906
Recognition of calcifications in thyroid nodules based on attention-gated collaborative supervision network of ultrasound images.

BACKGROUND: Calcification is an important criterion for classification between benign and malignant ...

Jan 2020 32804114
From Scope to Screen: The Evolution of Histology Education.

Histology, the branch of anatomy also known as microscopic anatomy, is the study of the structure an...

Jan 2020 33211308
Machine learning approach to identify a resting-state functional connectivity pattern serving as an endophenotype of autism spectrum disorder.

Endophenotype refers to a measurable and heritable component between genetics and diagnosis, and the...

Dec 2019 30280304
Computer-Aided Diagnosis (CAD) of Pulmonary Nodule of Thoracic CT Image Using Transfer Learning.

Computer-aided diagnosis (CAD) has already been widely used in medical image processing. We recently...

Dec 2019 31044393
Robot-assisted Laparoscopic Nephroureterectomy for a Nephrogenic Adenoma of Ureter.

Nephrogenic adenoma is a rare and benign tumour of the urinary tract thought to be caused by metapla...

Dec 2019 31779773
[Clinical application of convolutional neural network in pathological diagnosis of metastatic lymph nodes of gastric cancer].

To examine the value and clinical application of convolutional neural network in pathological diagn...

Dec 2019 31826599
[A Case of Hepatocellular Carcinoma with Portal Vein Tumor Thrombus Successfully Treated by Three-Dimensional Conformal Radiotherapy].

A man in his 50s was referred to our hospital with a liver tumor detected by ultrasonography during ...

Dec 2019 32156874
Optimization of treatment strategy by using a machine learning model to predict survival time of patients with malignant glioma after radiotherapy.

The purpose of this study was to predict the survival time of patients with malignant glioma after r...

Nov 2019 31665445
[Computer instruments for the management of isolated pulmonary nodule. Detectability and prediction of malignancy].

Lung cancer remains the most common cause of cancer deaths in the world, but its mortality can be si...

Nov 2019 31742940
[Actively promoting the research and development of artificial intelligence diagnosis and treatment of orbital disease].

Medical artificial intelligence (AI) promotes technological revolution and industrial transformation...

Nov 2019 31715675
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