1. 7 Must-Watch Korean Medical Dramas - From Hospital Playlist to Good ...
21 mei 2023 · Doctor Stranger centres around Park Hoon, a talented cardiothoracic surgeon who was raised in North Korea but fled to South Korea. Park Hoon ...
From Hospital Playlist to Good Doctor: 7 Must-Watch Korean Medical Dramas. Here are top seven medical KDramas to watch.
2. Actor Kang Chan-hee, Moon Sung-hyun and Choi Bo-min, who ...
2 okt 2024 · Kang Chan-hee in the movie "Method Acting," Moon Sung-hyun in "Crash," and Choi Bo-min in "Stranger Train" are ready to jump into the sea of movies with ...
Actor Kang Chan-hee, Moon Sung-hyun and Choi Bo-min, who will become a new star in Chungmuro, will appear in Busan for the first time.The 29th Busan International Film Festival (BIFF) will be held fro..
3. Kang Ye Won - Movies & TV Shows - Viki
Bevat niet: chan | Resultaten tonen met:chan
Get to know Kang Ye Won, from Corea del Sur. Kang Ye Won is known for significant roles in "El único y verdadero" and "La clínica del amor". Uncover insights into the off-screen life of Kang Ye Won and stay updated on their most recent works, all on Viki.
4. I have a spot in my lung. Do I have lung cancer? - O2 Healthcare Group
You may have been told by your doctor to have a pulmonary nodule. This means that a spot that is not normal tissue or blood vessels has been found in your ...
You may have been told by your doctor to have a pulmonary nodule. This means that a spot that is not normal tissue or blood vessels has been found in your lung.
5. Enhancement and evaluation for deep learning-based classification of ...
3 uur geleden · Do-Young Kang &; Sangjin Kim. Scientific Reports volume 14 ... However, due to the nature of the medical domain, there are limitations in the ...
See AlsoIllness 2 Ps4The application of deep learning techniques for the analysis of neuroimaging has been increasing recently. The 3D Convolutional Neural Network (CNN) technology, which is commonly adopted to encode volumetric information, requires a large number of datasets. However, due to the nature of the medical domain, there are limitations in the number of data available. This is because the cost of acquiring imaging is expensive and the use of personnel to annotate diagnostic labels is resource-intensive. For these reasons, several prior studies have opted to use comparatively lighter 2D CNNs instead of the complex 3D CNN technology. They analyze using projected 2D datasets created from representative slices extracted from 3D volumetric imaging. However, this approach, by selecting only projected 2D slices from the entire volume, reflects only partial volumetric information. This poses a risk of developing lesion diagnosis systems without a deep understanding of the interrelations among volumetric data. We propose a novel 3D-to-2D knowledge distillation framework that utilizes not only the projected 2D dataset but also the original 3D volumetric imaging dataset. This framework is designed to employ volumetric prior knowledge in training 2D CNNs. Our proposed method includes three modules: (i) a 3D teacher network that encodes volumetric prior knowledge from the 3D dataset, (ii) a 2D student network that encodes partial volumetric information from the 2D dataset, and aims to develop an u...
6. Face Me and Other Korean Medical Crime Shows That are Must Watch
7 dagen geleden · The latest title on the Korean entertainment block sees a talented plastic surgeon join forces with an ace detective of the violent crimes ...
Injecting intrigue, drama, and action into the high-stakes world of hospitals and clinics — medical crime TV shows are a class apart.
7. The 10 Improper Plank Form Mistakes Ruining Your Progress - Endomondo
9 uur geleden · Record A Video — If you don't have access to a partner or mirror ... Lee, J., Jeong, K., Lee, H., Shin, J., Choi, J., Kang, S. and Lee ...
Using the improper plank form is more common than you think. Learn the typical mistakes and tips on how to fix them in our useful guide.
8. Kang Shen - Stanford Profiles
Kang Shen, Vincent VC Woo Director, Wu Tsai Neurosciences Institute, Frank Lee and Carol Hall Professor and Professor of Biology and of Pathology.
Kang Shen is part of Stanford Profiles, official site for faculty, postdocs, students and staff information (Expertise, Bio, Research, Publications, and more). The site facilitates research and collaboration in academic endeavors.
9. Deep Learning-based Real-Time Seizure Detection and Multi ...
22 uur geleden · ... Kang, View ORCID ProfileDonghwa Yang. doi: https://doi.org ... The Chan Zuckerberg Initiative, Cold Spring Harbor Laboratory, the ...
Background and Objective: To develop a reliable and accurate seizure detection method using deep learning models capable of detecting and classifying multiple seizure types in real time. Methods: We retrospectively collected electroencephalography (EEG) recordings, which were acquired as part of routine diagnostic tests for patients aged 3 months to <=18 years of age with childhood absence epilepsy, infantile epileptic spasms syndrome, other generalized epilepsy, and focal epilepsy, between January 2018 and December 2022 at Severance Children's Hospital. We used EEG recordings from both seizure and non-seizure patients, which were downsampled to 200 Hz for real-time seizure detection and multi-classification. Results: Of the 199 patients (620 seizures), 49 (297 seizures) belonged to the childhood absence epilepsy group, 16 (200 seizures) to the infantile epileptic spasms syndrome group, 14 (76 seizures) to other generalized epilepsy group, 19 (47 seizures) to focal epilepsy group, and 101 to the normal group. The results showed the best overall performance of AUROC 0.98 and APROC of 0.73 with ResNet with Long-Short Term Network and a 12 s sliding window on real-time seizure detection task. Furthermore, ResNet50 without the frequency bands feature extractor showed the best overall weighted performance for multi-class seizure detection with 0.99 AUROC and 0.99 APPRC. Discussion: Our approach proposes robust methods which include EEG preprocessing strategy with real-time detecti...
