Assessment of the Robustness of Convolutional Neural Networks in Labeling Noise by Using Chest X-Ray Images From Multiple Centers

Autor: Jang, Ryoungwoo, Kim, Namkug, Jang, Miso, Lee, Kyung Hwa, Lee, Sang Min, Lee, Kyung Hee, Noh, Han Na, Seo, Joon Beom

Publikováno v: JMIR Medical Informatics, Vol 8, Iss 8, p e18089 (2020)

BackgroundComputer-aided diagnosis on chest x-ray images using deep learning is a widely studied modality in medicine. Many studies are based on public datasets, such as the National Institutes of Health (NIH) dataset and the Stanford CheXpert datase

Externí odkaz: https://doaj.org/article/15a7c757b0924d89ae7fc738aa7fd371

Lactiplantibacillus argentoratensis AGMB00912 alleviates salmonellosis and modulates gut microbiota in weaned piglets: a pilot study

Autor: Ki-Nam Yoon, Han Gyu Lee, Seo-Joon Yeom, Sang-Su Kim, Jong-Heum Park, Beom-Seok Song, Seung-Won Yi, Yoon Jung Do, Byungkwan Oh, Sang-Ik Oh, Jong-Bang Eun, Seung-Hwan Park, Ju Huck Lee, Hyeun Bum Kim, Ju-Hoon Lee, Tai-Young Hur, Jae-Kyung Kim

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)

Abstract This study aimed to evaluate the efficacy of Lactiplantibacillus argentoratensis AGMB00912 (LA) in reducing Salmonella Typhimurium infection in weaned piglets. The investigation focused on the influence of LA on the gut microbiota compositio

Externí odkaz: https://doaj.org/article/a629ea62de4b46d582d58925f719f465

Usefulness of CT Quantification-Based Assessment in Defining Progressive Pulmonary Fibrosis

Autor: Ahn, Yura ^a, Kim, Ho Cheol ^b, Lee, Ju Kwang ^c, Noh, Han Na ^a, Choe, Jooae ^a, Seo, Joon Beom ^a, Lee, Sang Min ^{a, ⁎}

Publikováno v: In Academic Radiology November 2024 31(11):4696-4708

AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation

Autor: Park, Sangjoon, Kim, Gwanghyun, Oh, Yujin, Seo, Joon Beom, Lee, Sang Min, Kim, Jin Hwan, Moon, Sungjun, Lim, Jae-Kwang, Park, Chang Min, Ye, Jong Chul

Although deep learning-based computer-aided diagnosis systems have recently achieved expert-level performance, developing a robust deep learning model requires large, high-quality data with manual annotation, which is expensive to obtain. This situat

Externí odkaz: http://arxiv.org/abs/2202.06431

High-resolution CT phenotypes in pulmonary sarcoidosis: a multinational Delphi consensus study

Autor: Anderson, Adam, Morgenthau, Adam, Gaser, Adrian, Vizel, Alexander, Speranskaya, Alexandra, Gerke, Alicia, Goksel, Altinisik, Undurraga, Alvaro, Sharma, Amita, Oh, Andrea, Leung, Ann, Larici, Anna Rita, Prasse, Antje, Mazzei, Antonietta, Morais, Antonio, Bhalla, Ashu, Del Rio, Belen, Jankharia, Bhavin, Elicker, Brett, Pereira, Carlos, Biegelman-Aubry, Catherine, White, Charles, Ravaglia, Claudia, Hsia, Connie, Schaefer-Prokop, Cornelia, Launay, David, Talwar, Deepak, Castillo, Diego, Patel, Divya, Israel-Biet, Dominique, Valeyre, Dominique, Britt, Edward James, Bargagli, Elena, Bendstrup, Elisabeth, Crouser, Elliott, Nossent, Esther, Shmelev, Eugeny, Porquera, Eva Carmona, Bonella, Francesco, Cohen-Aubart, Fleur, Jeny, Florence, Ferrara, Giovanni, Jin, Gong Yong, Robbie, Hasti, Prosch, Helmut, Sumikawa, Hiromitsu, Ling-Pei, Ho, Lee, Ho Yun, Strambu, Irina, Buendia-Roldan, Ivette, Grutters, Jan, Ryu, Jay, Swigris, Jeff, Miedema, Jelle, Goo, Jin Mo, Barnett, Joseph, Verschakelen, Johny, Goldin, Jonathan, Seo, Joon Beom, Enghelmayer, Juan, Mana, Juan, Behr, Juergen, Patterson, Karen, Antoniou, Katerina, Brown, Kevin, Fujimoto, Kiminori, Savale, Laurent, Maier, Lisa, Richeldi, Luca, Neto, Manuel Lessa Ribeiro, Humbert, Marc, Judson, Marc, Veltkamp, Marcel, Wilsher, Margaret, Molina, Maria, Otaola, Maria, Revel, Marie-Pierre, Silva, Mario, Drent, Marjolein, Schiebler, Mark, Wijsenbeek-Lourens, Marlies, Bonifazi, Martina, Remy-Jardin, Martine, Koslow, Matthew, Balter, Meyer, Kreuter, Michael, Thillai, Muhunthan, Hamzeh, Nabeel, Chaudhuri, Nazia, Mogulkoc, Nesrin, Todd, Nevins, Screaton, Nick, Goh, Nicole, Shah, Nirav, Obi, Ogugua, Shlobin, Oksana, Baranova, Olga, Bresser, Paul, Rottoli, Paula, Brillet, Pierre-Yves, Said-Hartley, Qonita, Borie, Raphael, Mostard, Remy, van Zyl-smit, Richard, Kairalla, Ronaldo, Egashira, Ryoko, Boussouar, Samia, Lee, Sang Min, Bhalla, Sanjeev, Tomassetti, Sara, Quadrelli, Silvia, Hart, Simon P, Danoff, Sonye, Rajan, Sujeet, Choi, Sun Mi, Copley, Susan, Kim, Tae Jung, Johkoh, Takeshi, Corte, Tamera, McLoud, Theresa, Wessendorf, Thomas, Alfaro, Tiago, Arai, Toru, Costabel, Ulrich, Vicens-Zygmunt, Vanesa, Poletti, Venerino, Cottin, Vincent, Vucinic, Violeta, Wuyts, Wim, van Es, Wouter, Jeong, Yeon Joo, Inoue, Yoshikazu, Desai, Sujal R ^{a, c, d, *}, Sivarasan, Nishanth ^a, Johannson, Kerri A ^e, George, Peter M ^{b, c, d}, Culver, Daniel A ^f, Devaraj, Anand ^{a, c, d}, Lynch, David A ^h, Milne, David ⁱ, Renzoni, Elisabetta ^{b, c, d}, Nunes, Hilario ^j, Sverzellati, Nicola ^k, Spagnolo, Paolo ^l, Baughman, Robert P ^m, Yadav, Ruchi ^g, Piciucchi, Sara ⁿ, Walsh, Simon L F ^c, Kouranos, Vasileios ^{b, c, d}, Wells, Athol U ^{b, c, d}

Publikováno v: In The Lancet Respiratory Medicine May 2024 12(5):409-418