AIMC Topic: Adenocarcinoma

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An Unsupervised Deep Learning-Based Model Using Multiomics Data to Predict Prognosis of Patients with Stomach Adenocarcinoma.

Computational and mathematical methods in medicine Oct 27, 2022
METHODS: Patients (363 in total) with stomach adenocarcinoma from The Cancer Genome Atlas (TCGA) cohort were included. An autoencoder was constructed to integrate the RNA sequencing, miRNA sequencing, and methylation data. The features of the bottlen...
Adenocarcinoma Stomach Neoplasms Deep Learning Humans Prognosis
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Deep Learning Approaches for Detection of Breast Adenocarcinoma Causing Carcinogenic Mutations.

International journal of molecular sciences Sep 29, 2022
Genes are composed of DNA and each gene has a specific sequence. Recombination or replication within the gene base ends in a permanent change in the nucleotide collection in a DNA called mutation and some mutations can lead to cancer. Breast adenocar...
Humans Female Male Deep Learning Nucleotides Breast Neoplasms Carcinogens Adenocarcinoma Mutation
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Non-small cell lung cancer diagnosis aid with histopathological images using Explainable Deep Learning techniques.

Computer methods and programs in biomedicine Sep 7, 2022
BACKGROUND: Lung cancer has the highest mortality rate in the world, twice as high as the second highest. On the other hand, pathologists are overworked and this is detrimental to the time spent on each patient, diagnostic turnaround time, and their ...
Humans Lung Neoplasms Adenocarcinoma Carcinoma, Non-Small-Cell Lung Artificial Intelligence Deep Learning
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Lightweight Deep Learning Classification Model for Identifying Low-Resolution CT Images of Lung Cancer.

Computational intelligence and neuroscience Aug 30, 2022
With an astounding five million fatal cases every year, lung cancer is among the leading causes of mortality worldwide for both men and women. The diagnosis of lung illnesses can benefit from the information a computed tomography (CT) scan can offer....
Lung Neoplasms Adenocarcinoma Neoplasm Invasiveness Male Deep Learning Humans Retrospective Studies Tomography, X-Ray Computed Female
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Fusion of CT images and clinical variables based on deep learning for predicting invasiveness risk of stage I lung adenocarcinoma.

Medical physics Aug 15, 2022
PURPOSE: To develop a novel multimodal data fusion model by incorporating computed tomography (CT) images and clinical variables based on deep learning for predicting the invasiveness risk of stage I lung adenocarcinoma that manifests as ground-glass...
Retrospective Studies Tomography, X-Ray Computed Biomarkers, Tumor Humans Adenocarcinoma Neoplasm Invasiveness Adenocarcinoma of Lung Deep Learning Lung Neoplasms
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The Use of Deep Learning-Based Computer Diagnostic Algorithm for Detection of Lymph Node Metastases of Gastric Adenocarcinoma.

International journal of surgical pathology Jul 27, 2022
The diversifying modalities of treatment for gastric cancer raise urgent demands for the rapid and precise diagnosis of metastases in regional lymph nodes, thereby significantly impact the workload of pathologists. Meanwhile, the recent advent of wh...
Deep Learning Lymph Nodes Lymphatic Metastasis Adenocarcinoma Humans Algorithms Stomach Neoplasms
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Automated histological classification for digital pathology images of colonoscopy specimen via deep learning.

Scientific reports Jul 27, 2022
Colonoscopy is an effective tool to detect colorectal lesions and needs the support of pathological diagnosis. This study aimed to develop and validate deep learning models that automatically classify digital pathology images of colon lesions obtaine...
Humans Colonic Polyps Deep Learning Adenocarcinoma Colorectal Neoplasms Adenoma Colonoscopy
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Solid Attenuation Components Attention Deep Learning Model to Predict Micropapillary and Solid Patterns in Lung Adenocarcinomas on Computed Tomography.

Annals of surgical oncology Jul 5, 2022
BACKGROUND: High-grade adenocarcinoma subtypes (micropapillary and solid) treated with sublobar resection have an unfavorable prognosis compared with those treated with lobectomy. We investigated the potential of incorporating solid attenuation compo...
Attention Adenocarcinoma of Lung Lung Neoplasms Adenocarcinoma Humans Tomography, X-Ray Computed Deep Learning Retrospective Studies
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Histopathologic Basis for a Chest CT Deep Learning Survival Prediction Model in Patients with Lung Adenocarcinoma.

Radiology Jul 5, 2022
Background A preoperative CT-based deep learning (DL) prediction model was proposed to estimate disease-free survival in patients with resected lung adenocarcinoma. However, the black-box nature of DL hinders interpretation of its results. Purpose To...
Lung Neoplasms Adenocarcinoma ErbB Receptors Middle Aged Deep Learning Adenocarcinoma of Lung Retrospective Studies Tomography, X-Ray Computed Aged Male Female Humans
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Development of a deep learning model for the histologic diagnosis of dysplasia in Barrett's esophagus.

Gastrointestinal endoscopy Jun 17, 2022
BACKGROUND AND AIMS: The risk of progression in Barrett's esophagus (BE) increases with development of dysplasia. There is a critical need to improve the diagnosis of BE dysplasia, given substantial interobserver disagreement among expert pathologist...
Barrett Esophagus Deep Learning Hyperplasia Adenocarcinoma Esophageal Neoplasms Humans Disease Progression
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