Oncology/Hematology

Other Cancers

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

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Showing 4201-4221 of 6,933 articles
Current applications of deep-learning in neuro-oncological MRI.

PURPOSE: Magnetic Resonance Imaging (MRI) provides an essential contribution in the screening, detec...

Mar 2021 33780701
Investigating heterogeneities of live mesenchymal stromal cells using AI-based label-free imaging.

Mesenchymal stromal cells (MSCs) are multipotent cells that have great potential for regenerative me...

Mar 2021 33762607
Assessing Rectal Cancer Treatment Response Using Coregistered Endorectal Photoacoustic and US Imaging Paired with Deep Learning.

Background Conventional radiologic modalities perform poorly in the radiated rectum and are often un...

Mar 2021 33754826
Automated evaluation of tumor spheroid behavior in 3D culture using deep learning-based recognition.

Three-dimensional in vitro tumor models provide more physiologically relevant responses to drugs tha...

Mar 2021 33798957
Deep generative neural network for accurate drug response imputation.

Drug response differs substantially in cancer patients due to inter- and intra-tumor heterogeneity. ...

Mar 2021 33741950
Distant metastasis time to event analysis with CNNs in independent head and neck cancer cohorts.

Deep learning models based on medical images play an increasingly important role for cancer outcome ...

Mar 2021 33742070
Deep learning-based algorithm to detect primary hepatic malignancy in multiphase CT of patients at high risk for HCC.

OBJECTIVES: To develop and evaluate a deep learning-based model capable of detecting primary hepatic...

Mar 2021 33738600
Development and Validation of a Deep Learning-Based Model to Distinguish Glioblastoma from Solitary Brain Metastasis Using Conventional MR Images.

BACKGROUND AND PURPOSE: Differentiating glioblastoma from solitary brain metastasis preoperatively u...

Mar 2021 33737268
Preoperative prediction of regional lymph node metastasis of colorectal cancer based on F-FDG PET/CT and machine learning.

PURPOSE: To establish and validate a regional lymph node (LN) metastasis prediction model of colorec...

Mar 2021 33738763
Artificial neural network model to predict post-hepatectomy early recurrence of hepatocellular carcinoma without macroscopic vascular invasion.

BACKGROUND: The accurate prediction of post-hepatectomy early recurrence (PHER) of hepatocellular ca...

Mar 2021 33726693
Tumor attention networks: Better feature selection, better tumor segmentation.

Compared with the traditional analysis of computed tomography scans, automatic liver tumor segmentat...

Mar 2021 33780873
Expanding TNM for lung cancer through machine learning.

BACKGROUND: Expanding the tumor, lymph node, metastasis (TNM) staging system by accommodating new pr...

Mar 2021 33713568
Machine learning for the prediction of bone metastasis in patients with newly diagnosed thyroid cancer.

OBJECTIVES: This study aimed to establish a machine learning prediction model that can be used to pr...

Mar 2021 33709570
Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning.

N-staging is a determining factor for prognostic assessment and decision-making for stage-based canc...

Mar 2021 33712598
An imageomics and multi-network based deep learning model for risk assessment of liver transplantation for hepatocellular cancer.

INTRODUCTION: Liver transplantation (LT) is an effective treatment for hepatocellular carcinoma (HCC...

Mar 2021 33725579
A Systematic Approach for MRI Brain Tumor Localization and Segmentation Using Deep Learning and Active Contouring.

One of the main requirements of tumor extraction is the annotation and segmentation of tumor boundar...

Mar 2021 33777346
A new rapid diagnostic system with ambient mass spectrometry and machine learning for colorectal liver metastasis.

BACKGROUND: Probe electrospray ionization-mass spectrometry (PESI-MS) can rapidly visualize mass spe...

Mar 2021 33691644
Use of deep learning for detection, characterisation and prediction of metastatic disease from computerised tomography: a systematic review.

CT is widely used for diagnosis, staging and management of cancer. The presence of metastasis has si...

Mar 2021 33688072
Oncological outcomes of dose reductions in cisplatin due to renal dysfunction for patients with metastatic urothelial carcinoma.

OBJECTIVE: To investigate whether dose reductions in cisplatin due to renal dysfunction were associa...

Mar 2021 35474877
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