AIMC Topic: Carcinoma

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Development and Evaluation of a Convolutional Neural Network for Microscopic Diagnosis Between Pleomorphic Adenoma and Carcinoma Ex-Pleomorphic Adenoma.

Head & neck Oct 27, 2024
AIMS: To develop a model capable of distinguishing carcinoma ex-pleomorphic adenoma from pleomorphic adenoma using a convolutional neural network architecture.
Male Middle Aged Brazil Humans Adult Female Sensitivity and Specificity Aged Neural Networks, Computer Carcinoma Salivary Gland Neoplasms Adenoma, Pleomorphic Cohort Studies Convolutional Neural Networks Diagnosis, Differential
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Body composition radiomic features as a predictor of survival in patients with non-small cellular lung carcinoma: A multicenter retrospective study.

Nutrition (Burbank, Los Angeles County, Calif.) Dec 24, 2023
OBJECTIVES: This study combined two novel approaches in oncology patient outcome predictions-body composition and radiomic features analysis. The aim of this study was to validate whether automatically extracted muscle and adipose tissue radiomic fea...
Lung Lung Neoplasms Carcinoma, Non-Small-Cell Lung Retrospective Studies Radiomics Body Composition Carcinoma Humans
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Effects of targeting highly expressed in cancer protein 1 (Hec1) inhibitor INH 1 in breast cancer cell lines In Vitro.

Cellular and molecular biology (Noisy-le-Grand, France) Dec 20, 2023
In the present study, the in vitro antiproliferative effect of targeting highly expressed cancer protein 1 (Hec1) inhibitor INH1 was investigated in estrogen receptor-positive MCF-7 cell line originating from an in situ carcinoma and triple negative ...
Apoptosis Breast Neoplasms Cell Line, Tumor Carcinoma Humans Cell Proliferation MCF-7 Cells Bromodeoxyuridine Female
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A Combined Model Integrating Radiomics and Deep Learning Based on Contrast-Enhanced CT for Preoperative Staging of Laryngeal Carcinoma.

Academic radiology Sep 28, 2023
RATIONALE AND OBJECTIVES: Accurate staging of laryngeal carcinoma can inform appropriate treatment decision-making. We developed a radiomics model, a deep learning (DL) model, and a combined model (incorporating radiomics features and DL features) ba...
Area Under Curve Radiologists Carcinoma Tomography, X-Ray Computed Deep Learning Humans Retrospective Studies
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Point-wise spatial network for identifying carcinoma at the upper digestive and respiratory tract.

BMC medical imaging Sep 25, 2023
PROBLEM: Artificial intelligence has been widely investigated for diagnosis and treatment strategy design, with some models proposed for detecting oral pharyngeal, nasopharyngeal, or laryngeal carcinoma. However, no comprehensive model has been estab...
Semantics Respiratory System Artificial Intelligence Carcinoma Humans
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Deep learning applied to the histopathological diagnosis of ameloblastomas and ameloblastic carcinomas.

Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology Sep 15, 2023
BACKGROUND: Odontogenic tumors (OT) are composed of heterogeneous lesions, which can be benign or malignant, with different behavior and histology. Within this classification, ameloblastoma and ameloblastic carcinoma (AC) represent a diagnostic chall...
Humans Odontogenic Tumors Artificial Intelligence Deep Learning Reproducibility of Results Carcinoma Ameloblastoma
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Impact of robotic and open surgery on patient wound complications in gastric cancer surgery: A meta-analysis.

International wound journal Jul 26, 2023
This meta-analysis is intended to evaluate the effect of both robotic and open-cut operations on postoperative complications of stomach carcinoma. From the earliest date until June 2023, a full and systemic search has been carried out on four main da...
Abdominal Abscess Wound Infection Postoperative Complications Humans Robotics Carcinoma Stomach Neoplasms
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A novel approach to quantify calcifications of thyroid nodules in US images based on deep learning: predicting the risk of cervical lymph node metastasis in papillary thyroid cancer patients.

European radiology Jul 12, 2023
OBJECTIVE: Based on ultrasound (US) images, this study aimed to detect and quantify calcifications of thyroid nodules, which are regarded as one of the most important features in US diagnosis of thyroid cancer, and to further investigate the value of...
Carcinoma Carcinoma, Papillary Thyroid Cancer, Papillary Lymph Nodes Humans Thyroid Neoplasms Lymphatic Metastasis Risk Factors Thyroid Nodule Calcinosis Deep Learning Retrospective Studies
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A trial deep learning-based model for four-class histologic classification of colonic tumor from narrow band imaging.

Scientific reports May 9, 2023
Narrow band imaging (NBI) has been extensively utilized as a diagnostic tool for colorectal neoplastic lesions. This study aimed to develop a trial deep learning (DL) based four-class classification model for low-grade dysplasia (LGD); high-grade dys...
Deep Learning Carcinoma Hyperplasia Narrow Band Imaging Colonic Neoplasms Humans Colorectal Neoplasms
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An Investigation about Modern Deep Learning Strategies for Colon Carcinoma Grading.

Sensors (Basel, Switzerland) May 8, 2023
Developing computer-aided approaches for cancer diagnosis and grading is currently receiving an increasing demand: this could take over intra- and inter-observer inconsistency, speed up the screening process, increase early diagnosis, and improve the...
Colonic Neoplasms Early Detection of Cancer Carcinoma Humans Female Deep Learning
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