전체 글144 Zhang et al., 2019, An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets # 세줄 요약 # Cancer has been one of the most threatening diseases, so our major goal is to identify malignant from benign lesions at radiology or CT imaging in the early stages, But it is difficult to collect such a large volume of images with pathological information. This paper explores two CNN models by focusing extensively on the expansion of training samples from two small pathologically prove.. 2021. 9. 27. Medina et al., 2020. Deep learning method for segmentation of rotator cuff muscles on MR images # 세줄 요약 # To develop and validate a deep convolutional neural network (CNN) method capable of (1) selecting a specific shoulder sagittal MR image (Y-view) and (2) automatically segmenting rotator cuff (RC) muscles on a Y-view. For model A, we manually selected shoulder sagittal T1 Y-view from 258 cases as ground truth to train a classification, For model B, we manually segmented subscapularis, s.. 2021. 9. 19. Cohen & Blakeslee & Ryzhov, 1998, The Ages and Abundances of a Large Sample of M87 Globular Clusters # 세줄 요약 # Combining the new (20 GCs; this paper) and existing data (150 GCs; Cohen & Ryzhov, 1997) for the galactic GCs (Globular clusters) and comparing the (U-R) colors and the line indices gave qualitative indications for the ages and abundances of M87 GC system. We find that the M87 GCs span a wide range in metallicity, from very metal-poor to somewhat above solar metallicity. The behavior o.. 2021. 8. 28. Depthwise Separable convolution이 기존의 convolution 보다 연산량이 적은 이유 # 세줄 요약 # Depthwise separable convolution 은 각 채널별로 나누어 각각의 feature map에 대해 1-channel convolution을 연산하는 depthwise 단계와 채널별로 구해진 feature map을 1x1 kernal convolution으로 하나의 channel로 합성시키는 separable 단계로 이루어져 있다. 일반적인 convolution의 연산량은 다음의 식으로 계산한다: (kernel size)^2 * (input channel number) * (input_size)^2 * (output channel number) * (output size)^2 Depthwise separable convolution의 경우 depthwise 단계에서 in.. 2021. 8. 25. Pota et al., 2015, A SLUGGS and Gemini/GMOS combined study of the elliptical galaxyM60: wide-field photometry and kinematics of the globular cluster system # 세줄 요약 # We present new wide-field photometry and spectroscopy of the globular clusters (GCs) around NGC 4649 (M60), the third brightest galaxy in the Virgo cluster. We confirm significant GC colour bimodality and find that the red GCs are more centrally concentrated, while the blue GCs are more spatially extended. We find that formation via a major merger between two gas-poor galaxies, followe.. 2021. 8. 23. 리눅스 터미널에서 텐서플로가 GPU를 잡고 있는지 확인하는 방법 # 세줄요약 # NVIDIA GPU driver와 CUDA가 설치되어있는지 확인 한다. [nvidia-smi, nvcc -V] 텐서플로 라이브러리에서 device_lib 모듈을 이용하는 방법: >>> [device_lib.list_local_devices()] 텐서플로 라이브러리에서 config 모듈을 이용하는 방법: [>>> tf.config.list_physical_devices()] # 상세 리뷰 # 1. 먼저 리눅스에서 NVIDIA GPU driver와 CUDA가 설치되어있는지 확인해야 한다. nvidia-smi [>>> nivida-smi] 명령어를 사용하면 위 그림과 같이 Driver Version과 CUDA Version을 확인하고 아래에서 해당 리눅스 서버에 설치된 GPU들을 목록으로 확인.. 2021. 8. 19. Kim et al., 2020, Active learning for accuracy enhancement of semantic segmentation with CNN-corrected label curations: Evaluation on kidney segmentation in abdominal CT # 세줄 요약 # Recent advances in fully convolutional networks have enabled automatic segmentation, however, high labeling efforts and difficulty in acquiring sufficient and high-quality training data is still a challenge. In this study, a cascaded 3D U-Net with active learning to 3 stages: first, training small dataset with manual labeling ground truth, second, training previous dataset and newly ad.. 2021. 8. 16. Shim et al., 2020, Automated rotator cuff tear classification using 3D convolutional neural network # 세줄 요약 # Rotator cuff tear (RCT) is one of the most common shoulder injuries. When diagnosing RCT, skilled orthopedists visually interpret magnetic resonance imaging (MRI) scan data. MRI data from 2,124 patients were used to train and test the VRN-based 3D CNN to classify RCT into five classes (None, Partial, Small, Medium, Large-to-Massive). The VRN-based 3D CNN outperformed orthopedists speci.. 2021. 8. 8. Blakeslee et al., 2012, Optical and Infrared Photometry of Globular Clusters in NGC 1399: Evidence for Color–Metarllicity Nonlinearity # 세줄요약 # We combine new Wide Field Camera 3 IR Channel (WFC3/IR) F160W (H160) imaging data for NGC 1399, the central galaxy in the Fornax cluster, with archival F475W (g475), F606W (V606), F814W (I814), and F850LP (z850) optical data from the Advanced Camera for Surveys (ACS). Consistent with the differing color distributions, the dependence of I814−H160 on g475−I814 for the matched GC sample is.. 2021. 8. 2. Kanavati et al., 2021, A deep learning model for the classification of indeterminate lung carcinoma in biopsy whole slide images # 세줄 요약 # The differentiation between major histological types of lung cancer, such as adenocarcinoma (ADC), squamous cell carcinoma (SCC), and small-cell lung cancer (SCLS) is of crucial importance for determining optimum cancer treatment. Hematoxylin and Eosin (H&E)-stained slides of small transbronchial lung biopsy (TBLB) are one of the primary sources for making a diagnosis, but if this diag.. 2021. 7. 18. 이전 1 ··· 5 6 7 8 9 10 11 ··· 15 다음
