Oncology/Hematology

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

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End-to-end deep learning for interior tomography with low-dose x-ray CT.

There are several x-ray computed tomography (CT) scanning strategies used to reduce radiation dose, ...

Male urogenital function after robot-assisted and laparoscopic total mesorectal excision for rectal cancer: a prospective cohort study.

BACKGROUND: Urogenital dysfunction is recognized as a serious complication affecting patient quality...

Feature Subset Selection with Optimal Adaptive Neuro-Fuzzy Systems for Bioinformatics Gene Expression Classification.

Recently, bioinformatics and computational biology-enabled applications such as gene expression anal...

Prediction of lung cancer using gene expression and deep learning with KL divergence gene selection.

BACKGROUND: Lung cancer is one of the cancers with the highest mortality rate in China. With the rap...

Reversing radiation-induced immunosuppression using a new therapeutic modality.

Radiation-induced immune suppression poses significant health challenges for millions of patients un...

Mutual enhancing learning-based automatic segmentation of CT cardiac substructure.

Current segmentation practice for thoracic cancer RT considers the whole heart as a single organ des...

A deep learning-based precision volume calculation approach for kidney and tumor segmentation on computed tomography images.

Previously, doctors interpreted computed tomography (CT) images based on their experience in diagnos...

Artificial intelligence in cancer target identification and drug discovery.

Artificial intelligence is an advanced method to identify novel anticancer targets and discover nove...

A machine learning approach applied to gynecological ultrasound to predict progression-free survival in ovarian cancer patients.

In a growing number of social and clinical scenarios, machine learning (ML) is emerging as a promisi...

Vaccine Therapy in Non-Small Cell Lung Cancer.

Immunotherapy using immune checkpoint modulators has revolutionized the oncology field, emerging as ...

MRCON-Net: Multiscale reweighted convolutional coding neural network for low-dose CT imaging.

BACKGROUND AND OBJECTIVE: Low-dose computed tomography (LDCT) has become increasingly important for ...

An improved CNN-based architecture for automatic lung nodule classification.

Lung cancer is one of the most critical diseases due to its significant death rate compared to all o...

RGB Channel Superposition Algorithm with Acetowhite Mask Images in a Cervical Cancer Classification Deep Learning Model.

Cervical cancer is one of the main causes of death from cancer in women. However, it can be treated ...

Recent advancement in cancer diagnosis using machine learning and deep learning techniques: A comprehensive review.

Being a second most cause of mortality worldwide, cancer has been identified as a perilous disease f...

Prediction of microvascular invasion in hepatocellular carcinoma with expert-inspiration and skeleton sharing deep learning.

BACKGROUND AND AIMS: Radiological prediction of microvascular invasion (MVI) of hepatocellular carci...

Fluorescence Analysis of Circulating Exosomes for Breast Cancer Diagnosis Using a Sensor Array and Deep Learning.

Emerging liquid biopsy methods for investigating biomarkers in bodily fluids such as blood, saliva, ...

Breast cancer histopathological images classification based on deep semantic features and gray level co-occurrence matrix.

Breast cancer is regarded as the leading killer of women today. The early diagnosis and treatment of...

Robotic versus Laparoscopic Total Mesorectal Excision Surgery in Rectal Cancer: Analysis of Medium-Term Oncological Outcomes.

. Robotic systems can overcome some limitations of laparoscopic total mesorectal excision (L-TME), t...

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