Oncology/Hematology

Other Cancers

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

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Computed tomography-based deep-learning prediction of induction chemotherapy treatment response in locally advanced nasopharyngeal carcinoma.

BACKGROUND: Deep learning methods have great potential to predict treatment response. The objective ...

Nov 2021 34817635
Novel deep learning-based solution for identification of prognostic subgroups in liver cancer (Hepatocellular carcinoma).

BACKGROUND: Liver cancer (Hepatocellular carcinoma; HCC) prevalence is increasing and with poor clin...

Nov 2021 34819028
Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma.

BACKGROUND: Radiomics may provide more objective and accurate predictions for extrahepatic cholangio...

Nov 2021 34819043
Are we there yet? A machine learning architecture to predict organotropic metastases.

BACKGROUND & AIMS: Cancer metastasis into distant organs is an evolutionarily selective process. A b...

Nov 2021 34819069
Utility of mass spectrometry and artificial intelligence for differentiating primary lung adenocarcinoma and colorectal metastatic pulmonary tumor.

BACKGROUND: Rapid intraoperative diagnosis for unconfirmed pulmonary tumor is extremely important fo...

Nov 2021 34812577
Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types.

In the last decade, the widespread adoption of electronic health record documentation has created hu...

Nov 2021 34823030
Detecting immunotherapy-sensitive subtype in gastric cancer using histologic image-based deep learning.

Immune checkpoint inhibitor (ICI) therapy is widely used but effective only in a subset of gastric c...

Nov 2021 34811485
FWNNet: Presentation of a New Classifier of Brain Tumor Diagnosis Based on Fuzzy Logic and the Wavelet-Based Neural Network Using Machine-Learning Methods.

In this paper, we present a novel classifier based on fuzzy logic and wavelet transformation in the ...

Nov 2021 34853586
Spatial and temporal dynamics of RhoA activities of single breast tumor cells in a 3D environment revealed by a machine learning-assisted FRET technique.

One of the hallmarks of cancer cells is their exceptional ability to migrate within the extracellula...

Nov 2021 34813733
Breast imaging: Beyond the detection.

Breast cancer is a heterogeneous disease nowadays, including different biological subtypes with a va...

Nov 2021 34864426
Deep Learning-Based Diagnosis Method of Emergency Colorectal Pathology.

One of the most common malignant tumors of the digestive tract is emergency colorectal cancer. In re...

Nov 2021 34840696
Imaging flow cytometry data analysis using convolutional neural network for quantitative investigation of phagocytosis.

Macrophages play an important role in the adaptive immune system. Their ability to neutralize cellul...

Nov 2021 34750809
A tree-based machine learning model to approach morphologic assessment of malignant salivary gland tumors.

Malignant salivary gland tumors represent a challenge for pathologists due to their low frequency an...

Nov 2021 34823074
Artificial intelligence applied to breast pathology.

The convergence of digital pathology and computer vision is increasingly enabling computers to perfo...

Nov 2021 34791536
Fus2Net: a novel Convolutional Neural Network for classification of benign and malignant breast tumor in ultrasound images.

BACKGROUND: The rapid development of artificial intelligence technology has improved the capability ...

Nov 2021 34794443
Machine learning of genomic features in organotropic metastases stratifies progression risk of primary tumors.

Metastatic cancer is associated with poor patient prognosis but its spatiotemporal behavior remains ...

Nov 2021 34795255
Deep learning for the prediction of early on-treatment response in metastatic colorectal cancer from serial medical imaging.

In current clinical practice, tumor response assessment is usually based on tumor size change on ser...

Nov 2021 34789774
Supervised learning based on tumor imaging and biopsy transcriptomics predicts response of hepatocellular carcinoma to transarterial chemoembolization.

Although transarterial chemoembolization (TACE) is the most widely used treatment for intermediate-s...

Nov 2021 34841291
Characterizing impact of positive lymph node number in endometrial cancer using machine-learning: A better prognostic indicator than FIGO staging?

BACKGROUND: Number of involved lymph nodes (LNs) is a crucial stratification factor in staging of nu...

Nov 2021 34794840
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