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Imaging of Osteolytic Breast Cancer Metastases with Computed Tomography, Positron Emission Tomography and Single Photon Emission Computed Tomography
(2010-04-12)
Imaging protocols for detection of breast cancer metastases to bone in clinical imaging have long been standardized, but to date small animal imaging still uses a variety of imaging modalities and protocols. Although imaging ...
3D Supervised Learning for CT Hematoma Segmentation via Transfer Learning from a 2D Trained Network
(2020-05-19)
Supervised learning approaches are the most widely used models in medical image processing and tend to offer the highest level of accuracy when paired data and labels are available. However, manual labeling process is ...
A Deep Learning Pipeline for Lung Cancer Classification on Imbalanced Data Set
(2020-05-19)
Lung cancer is one of the most common malignant tumors in the world today, and it is the leading cause of cancer death, accounting for 1 in 4 cancer deaths (Gatsonis et al.,2011). Various automatic lung cancer detection ...
Automatic Segmentation of Structures and Registration of CT Images for Image-Guided Otologic Surgery and Implant Programming
(2014-03-27)
A cochlear implant (CI) is a neural prosthetic device that restores hearing by directly stimulating
the auditory nerve using an electrode array surgically placed in the cochlea. Conventional CI implantation
techniques ...
Automatic Segmentation of the Human Abdomen on Clinically Acquired CT
(2016-01-26)
The human abdomen is an essential, yet complex body space clinically. Computational tomography (CT) scans are routinely taken for the diagnosis and prognosis of abdomen-related diseases, such as the pathological injuries ...