Oncology/Hematology

Other Cancers

Latest AI and machine learning research in other cancers for healthcare professionals.

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Automated classification of hepatocellular carcinoma differentiation using multiphoton microscopy and deep learning.

In the case of hepatocellular carcinoma (HCC) samples, classification of differentiation is crucial ...

Apr 2019 30868728
Breast cancer histopathological image classification using convolutional neural networks with small SE-ResNet module.

Although successful detection of malignant tumors from histopathological images largely depends on t...

Mar 2019 30925170
Classification and Recognition of Ovarian Cells Based on Two-Dimensional Light Scattering Technology.

Ovarian cancer is a very insidious malignant tumor. In order to detect ovarian cancer cells early, t...

Mar 2019 30919127
Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma.

Background Nasopharyngeal carcinoma (NPC) may be cured with radiation therapy. Tumor proximity to cr...

Mar 2019 30912722
Automated tumour budding quantification by machine learning augments TNM staging in muscle-invasive bladder cancer prognosis.

Tumour budding has been described as an independent prognostic feature in several tumour types. We r...

Mar 2019 30914794
Application of a machine learning method to whole brain white matter injury after radiotherapy for nasopharyngeal carcinoma.

BACKGROUND: The purpose/aim of this study was to 1) use magnetic resonance diffusion tensor imaging ...

Mar 2019 30909974
A modality-adaptive method for segmenting brain tumors and organs-at-risk in radiation therapy planning.

In this paper we present a method for simultaneously segmenting brain tumors and an extensive set of...

Mar 2019 30952038
Swarm-Fuzzy Rule-Based Targeted Nano Delivery Using Bioinspired Nanomachines.

Cooperative navigation and swarm decision making take center stage in a broad range of distributed a...

Mar 2019 30908235
Glioma Tumor Grade Identification Using Artificial Intelligent Techniques.

Computer aided diagnosis using artificial intelligent techniques made tremendous improvement in medi...

Mar 2019 30900029
Group Lasso Regularized Deep Learning for Cancer Prognosis from Multi-Omics and Clinical Features.

Accurate prognosis of patients with cancer is important for the stratification of patients, the opti...

Mar 2019 30901858
Predicting Ewing Sarcoma Treatment Outcome Using Infrared Spectroscopy and Machine Learning.

BACKGROUND: Improved outcome prediction is vital for the delivery of risk-adjusted, appropriate and ...

Mar 2019 30893786
A novel end-to-end brain tumor segmentation method using improved fully convolutional networks.

Accurate brain magnetic resonance imaging (MRI) tumor segmentation continues to be an active researc...

Mar 2019 31005007
Machine learning to predict occult nodal metastasis in early oral squamous cell carcinoma.

OBJECTIVES: To develop and validate an algorithm to predict occult nodal metastasis in clinically no...

Mar 2019 31010618
Automatic Sleep Staging Employing Convolutional Neural Networks and Cortical Connectivity Images.

Understanding of the neuroscientific sleep mechanisms is associated with mental/cognitive and physic...

Mar 2019 30892246
Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT.

PURPOSE: To develop a deep learning-based computer-aided diagnosis (CAD) system for use in the CT di...

Mar 2019 30877461
Differentiation of glioblastoma from solitary brain metastases using radiomic machine-learning classifiers.

This study aimed to identify the optimal radiomic machine-learning classifier for differentiating gl...

Mar 2019 30878526
Convolutional neural network for cell classification using microscope images of intracellular actin networks.

Automated cell classification is an important yet a challenging computer vision task with significan...

Mar 2019 30865716
Sleep staging from single-channel EEG with multi-scale feature and contextual information.

PURPOSE: Portable sleep monitoring devices with less-attached sensors and high-accuracy sleep stagin...

Mar 2019 30863994
Random forest classifiers aid in the detection of incidental osteoblastic osseous metastases in DEXA studies.

PURPOSE: Dual-energy X-ray absorptiometry (DEXA) studies are used for screening patients for low bon...

Mar 2019 30852715
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