AIMC Topic: Lung Neoplasms
Clear Filters Showing 1621 to 1630 of 1662 articles
A Fully Convolutional Deep Neural Network for Lung Tumor Boundary Tracking in MRI.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2018
Delineation of lung tumor from adjacent tissue from a series of magnetic resonance images (MRI) poses many difficulties due to the image similarities of the region of interest and surrounding area as well as the influence of respiration. However, acc...
Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2018
Lung cancer overall survival analysis using computed tomography (CT) images plays an important role in treatment planning. Most current analysis methods involve hand-crafted image features for survival time prediction. However, hand-crafted features ...
Using Multi-level Convolutional Neural Network for Classification of Lung Nodules on CT images.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2018
Lung cancer is one of the four major cancers in the world. Accurate diagnosing of lung cancer in the early stage plays an important role to increase the survival rate. Computed Tomography (CT)is an effective method to help the doctor to detect the lu...
Data-Adaptive Estimation for Double-Robust Methods in Population-Based Cancer Epidemiology: Risk Differences for Lung Cancer Mortality by Emergency Presentation.
American journal of epidemiology
Apr 1, 2018
In this paper, we propose a structural framework for population-based cancer epidemiology and evaluate the performance of double-robust estimators for a binary exposure in cancer mortality. We conduct numerical analyses to study the bias and efficien...
[A Paired Case Controlled Study Comparing the Short-term Outcomes of Da Vinci RATS and VATS Approach for Non-small Cell Lung Cancer].
Zhongguo fei ai za zhi = Chinese journal of lung cancer
Mar 20, 2018
BACKGROUND: Da Vinci Surgical System is one of the greatest inventions of the 20th century, which represents the development direction of the precise minimally invasive surgical techniques, the aim of this study was to comparing the short-term outcom...
Machine learning based cancer detection using various image modalities.
Computer methods and programs in biomedicine
Mar 1, 2018
Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions.
IEEE transactions on medical imaging
Feb 1, 2018
Heavy smokers undergoing screening with low-dose chest CT are affected by cardiovascular disease as much as by lung cancer. Low-dose chest CT scans acquired in screening enable quantification of atherosclerotic calcifications and thus enable identifi...
[RETROPERITONEAL LIPOSARCOMA WITH MULTIPLE RECURRENCE OF LUNG METASTASES TREATED BY MULTIMODAL THERAPY CENTERING ON THE OPERATION: A CASE REPORT].
Nihon Hinyokika Gakkai zasshi. The japanese journal of urology
Jan 1, 2018
A 34-year-old man presented with scrotal pain and slight fever. The scrotal pain was improved by the treatment of antibiotics, but the slight fever remained and an abdominal protuberance appeared. Computed tomography showed a 22 cm abdominal tumor wi...
Thoracoscopy
Ifosfamide
Liposarcoma
Retroperitoneal Neoplasms
Lymph Node Excision
Pneumonectomy
Neoplasm Recurrence, Local
Combined Modality Therapy
Doxorubicin
Surgical Procedures, Operative
Etoposide
Humans
Adult
Male
Time Factors
Lung Neoplasms
Antineoplastic Combined Chemotherapy Protocols
Treatment Outcome
Deep Integrative Analysis for Survival Prediction.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Jan 1, 2018
Survival prediction is very important in medical treatment. However, recent leading research is challenged by two factors: 1) the datasets usually come with multi-modality; and 2) sample sizes are relatively small. To solve the above challenges, we d...
A hybrid CNN feature model for pulmonary nodule malignancy risk differentiation.
Journal of X-ray science and technology
Jan 1, 2018
The malignancy risk differentiation of pulmonary nodule is one of the most challenge tasks of computer-aided diagnosis (CADx). Most recently reported CADx methods or schemes based on texture and shape estimation have shown relatively satisfactory on ...
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