Results 191 to 200 of about 841,129 (301)

Breast cancer pathology image recognition based on convolutional neural network. [PDF]

PLoS One
Fang W, Tang S, Yan D, Dai X, Zhang W, Xiong J.   +5 more
europepmc   +1 more source

Implementation of needle‐tracking technology for real‐time transrectal ultrasound‐guided interstitial gynecological HDR brachytherapy: A feasibility study

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To investigate the feasibility of adapting a commercial prostate biopsy system for transrectal ultrasound (TRUS)‐guided hybrid gynecological (GYN) high‐dose‐rate (HDR) brachytherapy (BT). Leveraging 3D‐TRUS and MR image fusion, the prototype system aims to improve real‐time needle placement accuracy.
Lindsey H. Bloom, Diandra Ayala‐Peacock, Rajesh Venkataraman, Brett Eckroate, Ryan Sanford, Junzo Chino, Yongbok Kim, Julie Raffi, Oana Craciunescu   +8 more
wiley   +1 more source

Leveraging retinanet based object detection model for assisting visually impaired individuals with metaheuristic optimization algorithm. [PDF]

Sci Rep
Khadidos AO, Yafoz A.
europepmc   +1 more source

Accounting for TLD response to CBCT protocols in external beam radiotherapy dose monitoring

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose LiF thermoluminescent dosimeters (TLDs) are commonly used in radiation therapy to verify the delivered dose. Examples include dose verification for complicated treatment setups or cardiovascular implantable electronic devices (CIEDs). TLDs may be present for both the pre‐treatment imaging kilovoltage (kV) beam and the megavoltage (MV ...
Andrew J. White, Cliff G. Hammer, Matthew W. Brenner, Larry A. DeWerd, Kurt E. Stump, Wesley S. Culberson   +5 more
wiley   +1 more source

Progress in the Application of Artificial Intelligence in Ultrasound-Assisted Medical Diagnosis. [PDF]

Bioengineering (Basel)
Yan L, Li Q, Fu K, Zhou X, Zhang K.
europepmc   +1 more source

Unsupervised non‐small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity‐based discriminator

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing deep learning‐based automatic segmentation methods rely on manually annotated data for network training. Purpose This study aims to develop an unsupervised tumor segmentation network smic‐GAN by using a similarity‐driven generative adversarial ...
Chengyijue Fang, Xiaoyang Li, Yidong Yang   +2 more
wiley   +1 more source

Correction to: Feasibility of PET‑enabled dual‑energy CT imaging: First physical phantom and initial patient study results. [PDF]

Eur J Nucl Med Mol Imaging
Zhu Y, Li S, Xie Z, Leung EK, Bayerlein R, Omidvari N, Abdelhafez YG, Cherry SR, Qi J, Badawi RD, Spencer BA, Wang G.   +11 more
europepmc   +1 more source

Evaluating feature extraction reproducibility across image biomarker standardization initiative‐compliant radiomics platforms using a digital phantom

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The aim of this study was to thoroughly analyze the reproducibility of radiomics feature extraction across three Image Biomarker Standardization Initiative (IBSI)‐compliant platforms using a digital phantom for benchmarking. It uncovers high consistency among common features while also pointing out the necessity for standardization ...
Han‐Back Shin, Heesoon Sheen, Jang‐Hoon Oh, Young Eun Choi, Kihoon Sung, Hyun Ju Kim   +5 more
wiley   +1 more source

Image Fusion for Computer-assisted Bone Tumor Surgery

Clinical Orthopaedics and Related Research, 2008
K. Wong, Shekhar Kumta, G. Antonio, L. Tse   +3 more
semanticscholar   +1 more source

The integration of artificial intelligence in assisted reproduction: a comprehensive review. [PDF]

Front Reprod Health
Kakkar P, Gupta S, Paschopoulou KI, Paschopoulos I, Paschopoulos I, Siafaka V, Tsonis O.   +6 more
europepmc   +1 more source