AIMC Topic: Tomography, X-Ray Computed
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Machine Learning-Based Prediction of Pathological Responses and Prognosis After Neoadjuvant Chemotherapy for Non-Small-Cell Lung Cancer: A Retrospective Study.
Clinical lung cancer
Apr 12, 2024
BACKGROUND: Neoadjuvant chemotherapy has variable efficacy in patients with non-small-cell lung cancer (NSCLC), yet reliable noninvasive predictive markers are lacking. This study aimed to develop a radiomics model predicting pathological complete re...
Clinical feasibility of deep learning-based synthetic CT images from T2-weighted MR images for cervical cancer patients compared to MRCAT.
Scientific reports
Apr 12, 2024
This work aims to investigate the clinical feasibility of deep learning-based synthetic CT images for cervix cancer, comparing them to MR for calculating attenuation (MRCAT). Patient cohort with 50 pairs of T2-weighted MR and CT images from cervical ...
Application of artificial intelligence-assisted image diagnosis software based on volume data reconstruction technique in medical imaging practice teaching.
BMC medical education
Apr 11, 2024
BACKGROUND: In medical imaging courses, due to the complexity of anatomical relationships, limited number of practical course hours and instructors, how to improve the teaching quality of practical skills and self-directed learning ability has always...
Exploring tumor heterogeneity in colorectal liver metastases by imaging: Unsupervised machine learning of preoperative CT radiomics features for prognostic stratification.
European journal of radiology
Apr 10, 2024
OBJECTIVES: This study aimed to investigate tumor heterogeneity of colorectal liver metastases (CRLM) and stratify the patients into different risk groups of prognoses following liver resection by applying an unsupervised radiomics machine-learning a...
Artificial intelligence for detection of effusion and lipo-hemarthrosis in X-rays and CT of the knee.
European journal of radiology
Apr 10, 2024
BACKGROUND: Traumatic knee injuries are challenging to diagnose accurately through radiography and to a lesser extent, through CT, with fractures sometimes overlooked. Ancillary signs like joint effusion or lipo-hemarthrosis are indicative of fractur...
Knee Joint
Exudates and Transudates
Knee Injuries
Hemarthrosis
Middle Aged
Adolescent
Radiographic Image Interpretation, Computer-Assisted
Tomography, X-Ray Computed
Female
Aged
Aged, 80 and over
Young Adult
Adult
Sensitivity and Specificity
Humans
Male
Artificial Intelligence
Algorithms
Retrospective Studies
Deep causal learning for pancreatic cancer segmentation in CT sequences.
Neural networks : the official journal of the International Neural Network Society
Apr 9, 2024
Segmenting the irregular pancreas and inconspicuous tumor simultaneously is an essential but challenging step in diagnosing pancreatic cancer. Current deep-learning (DL) methods usually segment the pancreas or tumor independently using mixed image fe...
S2DA-Net: Spatial and spectral-learning double-branch aggregation network for liver tumor segmentation in CT images.
Computers in biology and medicine
Apr 9, 2024
Accurate liver tumor segmentation is crucial for aiding radiologists in hepatocellular carcinoma evaluation and surgical planning. While convolutional neural networks (CNNs) have been successful in medical image segmentation, they face challenges in ...
CT-based radiomics research for discriminating the risk stratification of pheochromocytoma using different machine learning models: a multi-center study.
Abdominal radiology (New York)
Apr 8, 2024
OBJECTIVES: The purpose of this study was to explore and verify the value of various machine learning models in preoperative risk stratification of pheochromocytoma.
Development of a deep-learning algorithm for age estimation on CT images of the vertebral column.
Legal medicine (Tokyo, Japan)
Apr 7, 2024
PURPOSE: The accurate age estimation of cadavers is essential for their identification. However, conventional methods fail to yield adequate age estimation especially in elderly cadavers. We developed a deep learning algorithm for age estimation on C...
Phantom study of a fully automatic radioactive seed placement robot for the treatment of skull base tumours.
BMC oral health
Apr 5, 2024
BACKGROUND: Interstitial brachytherapy is a form of intensive local irradiation that facilitates the effective protection of surrounding structures and the preservation of organ functions, resulting in a favourable therapeutic response. As surgical r...
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