Oncology/Hematology

Latest AI and machine learning research in oncology/hematology for healthcare professionals.

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Distinct tumor signatures using deep learning-based characterization of the peritumoral microenvironment in glioblastomas and brain metastases.

Tumor types are classically distinguished based on biopsies of the tumor itself, as well as a radiol...

Deep Learning on MRI Images for Diagnosis of Lung Cancer Spinal Bone Metastasis.

This paper aimed to explore the adoption of deep learning algorithms in lung cancer spinal bone meta...

Deep Learning for Basal Cell Carcinoma Detection for Reflectance Confocal Microscopy.

Basal cell carcinoma (BCC) is the most common skin cancer, with over 2 million cases diagnosed annua...

Predicting pathogenic non-coding SVs disrupting the 3D genome in 1646 whole cancer genomes using multiple instance learning.

Over the past years, large consortia have been established to fuel the sequencing of whole genomes o...

Y-net: a reducing gaussian noise convolutional neural network for MRI brain tumor classification with NADE concatenation.

Brain tumors are among the most serious cancers that can have a negative impact on a person's qualit...

[MRI-guided minimally invasive treatment of prostate cancer].

CLINICAL/METHODOLOGICAL ISSUE: Multiparametric magnetic resonance imaging (mpMRI) of the prostate pl...

Second-order multi-instance learning model for whole slide image classification.

Whole slide histopathology images (WSIs) play a crucial role in diagnosing lymph node metastasis of ...

BCDnet: Parallel heterogeneous eight-class classification model of breast pathology.

Breast cancer is the cancer with the highest incidence of malignant tumors in women, which seriously...

Aggregation-and-Attention Network for brain tumor segmentation.

BACKGROUND: Glioma is a malignant brain tumor; its location is complex and is difficult to remove su...

Machine Learning in Epigenomics: Insights into Cancer Biology and Medicine.

The recent deluge of genome-wide technologies for the mapping of the epigenome and resulting data in...

Robot assisted minimally invasive esophagectomy: safety, perioperative morbidity and short-term oncological outcome-a single institution experience.

Robot assisted minimally invasive esophagectomy (RAMIE) has evolved over the past decade to become p...

Urine cell image recognition using a deep-learning model for an automated slide evaluation system.

OBJECTIVES: To develop a classification system for urine cytology with artificial intelligence (AI) ...

Intraoperative assessment of canine soft tissue sarcoma by deep learning enhanced optical coherence tomography.

Soft tissue sarcoma (STS) is a locally aggressive and infiltrative tumour in dogs. Surgical resectio...

A data science approach for early-stage prediction of Patient's susceptibility to acute side effects of advanced radiotherapy.

The prediction by classification of side effects incidence in a given medical treatment is a common ...

Sclareol Inhibits Hypoxia-Inducible Factor-1α Accumulation and Induces Apoptosis in Hypoxic Cancer Cells.

The hypoxia in solid tumors is associated with the resistance to chemo/radiotherapy. Hypoxia-induci...

3D Deep Learning Model for the Pretreatment Evaluation of Treatment Response in Esophageal Carcinoma: A Prospective Study (ChiCTR2000039279).

PURPOSE: To develop and validate a pretreatment computed tomography (CT)-based deep-learning (DL) mo...

Grading of invasive breast carcinoma: the way forward.

Histologic grading has been a simple and inexpensive method to assess tumor behavior and prognosis o...

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