Pathology

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

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Automatic detection of oral cancer in smartphone-based images using deep learning for early diagnosis.

SIGNIFICANCE: Oral cancer is a quite common global health issue. Early diagnosis of cancerous and po...

Aug 2021 34453419
Machine learning application identifies novel gene signatures from transcriptomic data of spontaneous canine hemangiosarcoma.

Angiosarcomas are soft-tissue sarcomas that form malignant vascular tissues. Angiosarcomas are very ...

Jul 2021 33078825
Highly accurate diagnosis of papillary thyroid carcinomas based on personalized pathways coupled with machine learning.

Thyroid nodules are neoplasms commonly found among adults, with papillary thyroid carcinoma (PTC) be...

Jul 2021 33341874
Artificial intelligence in prostate histopathology: where are we in 2021?

PURPOSE OF REVIEW: Artificial intelligence has made an entrance into mainstream applications of dail...

Jul 2021 33965977
Deep Learning-Based Nuclear Lobe Count Method for Differential Count of Neutrophils.

Differentiating neutrophils based on the count of nuclear lobulation is useful for diagnosing variou...

Jul 2021 34305101
Robotic Applications for Benign Gynecologic Procedures.

INTRODUCTION: Robotic systems provide a platform for surgeons to expand their capabilities, allowing...

Jun 2021 34181238
Robotic-Assisted Tubular Transoral Parapharyngeal Approach to the Ventral Craniovertebral Junction.

BACKGROUND: Transoral robotic surgery (TORS) has become a routine technique for treating benign and ...

Jun 2021 33647934
[Deep learning based lesion detection from anterior segment optical coherence tomography images and its application in the diagnosis of keratoconus].

To developed an image analysis system of anterior segment optical coherence tomography (AS-OCT) exa...

Jun 2021 34098694
Requirements for implementation of artificial intelligence in the practice of gastrointestinal pathology.

Tremendous advances in artificial intelligence (AI) in medical image analysis have been achieved in ...

Jun 2021 34135556
A hybrid deep learning model for breast cancer diagnosis based on transfer learning and pulse-coupled neural networks.

Radiology experts often face difficulties in mammography mass lesion labeling, which may lead to con...

Jun 2021 34517476
Discovery of molecular features underlying the morphological landscape by integrating spatial transcriptomic data with deep features of tissue images.

Profiling molecular features associated with the morphological landscape of tissue is crucial for in...

Jun 2021 33619564
Classifying Retinal Degeneration in Histological Sections Using Deep Learning.

PURPOSE: Artificial intelligence (AI) techniques are increasingly being used to classify retinal dis...

Jun 2021 34110385
Non-invasive measurement of PD-L1 status and prediction of immunotherapy response using deep learning of PET/CT images.

BACKGROUND: Currently, only a fraction of patients with non-small cell lung cancer (NSCLC) treated w...

Jun 2021 34135101
Artificial intelligence technologies empowering identification of novel diagnostic molecular markers in gastric cancer.

In recent clinical practice the molecular diagnostics have been significantly empowered and upgraded...

Jun 2021 34135140
THE SAFETY AND EFFICACY OF ROBOT-ASSISTED STEREOTACTIC BIOPSY FOR BRAIN GLIOMA: EARLIEST INSTITUTIONAL EXPERIENCES AND EVALUATION OF LITERATURE.

Robot-assisted brain tumor biopsy is becoming one of the most important innovative technologies in n...

Jun 2021 34744281
State of machine and deep learning in histopathological applications in digestive diseases.

Machine learning (ML)- and deep learning (DL)-based imaging modalities have exhibited the capacity t...

May 2021 34092975
Robotic-Assisted Surgery Training (RAST) Program: An Educational Research Protocol.

Technology has had a dramatic impact on how diseases are diagnosed and treated. Although cut, sew, a...

May 2021 33830493
scCancer: a package for automated processing of single-cell RNA-seq data in cancer.

Molecular heterogeneities and complex microenvironments bring great challenges for cancer diagnosis ...

May 2021 34020534
Towards multi-omics characterization of tumor heterogeneity: a comprehensive review of statistical and machine learning approaches.

The multi-omics molecular characterization of cancer opened a new horizon for our understanding of c...

May 2021 34020548
Closed-loop feedback control of microfluidic cell manipulation deep-learning integrated sensor networks.

Microfluidic technologies have long enabled the manipulation of flow-driven cells en masse under a v...

May 2021 34008660
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