Oncology/Hematology

Breast Cancer

Latest AI and machine learning research in breast cancer for healthcare professionals.

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Showing 1744-1764 of 6,175 articles
Genomic signatures for paclitaxel and gemcitabine resistance in breast cancer derived by machine learning.

Increasingly, the effectiveness of adjuvant chemotherapy agents for breast cancer has been related t...

Aug 2015 26372358
Successful radiotherapy in postoperative recurrence of a primary mediastinal yolk sac tumor: A case report.

A woman in her 60s was evaluated for anterior chest pain. Computed tomography (CT) revealed a 50 mm ...

Aug 2015 27148423
Intrawound Vancomycin Powder for Spine Tumor Surgery.

Study Design Retrospective evaluation of prospectively collected data. Objective To evaluate infecti...

Jul 2015 27099810
Multi-class BCGA-ELM based classifier that identifies biomarkers associated with hallmarks of cancer.

BACKGROUND: Traditional cancer treatments have centered on cytotoxic drugs and general purpose chemo...

May 2015 25986937
Cancer adjuvant chemotherapy strategic classification by artificial neural network with gene expression data: An example for non-small cell lung cancer.

PURPOSE: Adjuvant chemotherapy (ACT) is used after surgery to prevent recurrence or metastases. Howe...

May 2015 25998519
A support vector machine tool for adaptive tomotherapy treatments: Prediction of head and neck patients criticalities.

PURPOSE: Adaptive radiation therapy (ART) is an advanced field of radiation oncology. Image-guided r...

May 2015 25958225
Clinical evaluation of postoperative chemotherapy based on genetic testing in patients with stage IIIA non-small cell lung cancer.

BACKGROUND: We performed a retrospective analysis to evaluate whether a postoperative chemotherapy s...

Apr 2015 26816538
Support vector machine classification of brain metastasis and radiation necrosis based on texture analysis in MRI.

PURPOSE: To develop a classification model using texture features and support vector machine in cont...

Apr 2015 25865833
A fast neural network approach to predict lung tumor motion during respiration for radiation therapy applications.

During radiotherapy treatment for thoracic and abdomen cancers, for example, lung cancers, respirato...

Mar 2015 25893194
HemOnc.org: A Collaborative Online Knowledge Platform for Oncology Professionals.

PURPOSE: Cancer care involves extensive knowledge about numerous chemotherapy drugs and chemotherapy...

Mar 2015 25736385
Multi-scale textural feature extraction and particle swarm optimization based model selection for false positive reduction in mammography.

The high number of false positives and the resulting number of avoidable breast biopsies are the maj...

Feb 2015 25795630
An integrated breast cancer risk assessment and management model based on fuzzy cognitive maps.

BACKGROUND: There is a growing demand for women to be classified into different risk groups of devel...

Jan 2015 25697987
Prediction of the thickness of the compensator filter in radiation therapy using computational intelligence.

In this study, artificial neural networks (ANNs) and adaptive neuro-fuzzy inference system (ANFIS) a...

Dec 2014 25498836
Region based stellate features combined with variable selection using AdaBoost learning in mammographic computer-aided detection.

In this paper, a new method is developed for extracting so-called region-based stellate features to ...

Sep 2014 25444461
Computer-aided diagnosis of malignant mammograms using Zernike moments and SVM.

This work is directed toward the development of a computer-aided diagnosis (CAD) system to detect ab...

Jul 2014 25005867
Understanding Human AI Discrepancy in Breast Cancer TIL Assessment: A Multi-Rater and Perceptual Bias Study

Objective: Tumor-infiltrating lymphocytes (TILs) in breast cancer are one of the most important indi...

Prognostic performance of an AI-based recurrence risk model in clinically low-risk HR+/HER2- early breast cancer

Objective Accurate prognostication of recurrence risk in HR+/HER2- early breast cancer is central fo...

A Foundation Model for the Cancer Genome

Cancer is a disease of the genome, in which somatic mutations and copy-number alterations determine ...

Deep Learning Spatial Profiling of CD103+CD8+ T Cells and Survival in Rectal Cancer After Neoadjuvant Chemoradiotherapy

Background: CD8+ tumor-infiltrating lymphocytes (TILs) are established prognostic markers in colorec...

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