Zobrazeno 1 - 10
of 536
pro vyhledávání: '"Su, Jason"'
Deep-learning-based object detection methods show promise for improving screening mammography, but high rates of false positives can hinder their effectiveness in clinical practice. To reduce false positives, we identify three challenges: (1) unlike
Externí odkaz:
http://arxiv.org/abs/2308.06420
Autor:
Merchant, Rajan, Inamdar, Rubina, Henderson, Kelly, Barrett, Meredith, Su, Jason G, Riley, Jesika, Van Sickle, David, Stempel, David
Publikováno v:
JMIR mHealth and uHealth, Vol 6, Iss 6, p e133 (2018)
BackgroundAlthough digital health tools are increasingly recognized as effective in improving clinical outcomes such as asthma control and medication adherence, few studies have assessed patient experiences and perception of value. ObjectiveThe aim
Externí odkaz:
https://doaj.org/article/18441ec61c834b168087d8604e33b2d8
Autor:
Tsue, Trevor, Mombourquette, Brent, Taha, Ahmed, Matthews, Thomas Paul, Vu, Yen Nhi Truong, Su, Jason
This work reveals undiscovered challenges in the performance and generalizability of deep learning models. We (1) identify spurious shortcuts and evaluation issues that can inflate performance and (2) propose training and analysis methods to address
Externí odkaz:
http://arxiv.org/abs/2303.16417
Autor:
Taha, Ahmed, Vu, Yen Nhi Truong, Mombourquette, Brent, Matthews, Thomas Paul, Su, Jason, Singh, Sadanand
Medical images come in high resolutions. A high resolution is vital for finding malignant tissues at an early stage. Yet, this resolution presents a challenge in terms of modeling long range dependencies. Shallow transformers eliminate this problem,
Externí odkaz:
http://arxiv.org/abs/2208.06066
Autor:
Pedemonte, Stefano, Tsue, Trevor, Mombourquette, Brent, Vu, Yen Nhi Truong, Matthews, Thomas, Hoil, Rodrigo Morales, Shah, Meet, Ghare, Nikita, Zingman-Daniels, Naomi, Holley, Susan, Appleton, Catherine M., Su, Jason, Wahl, Richard L.
Screening mammography improves breast cancer outcomes by enabling early detection and treatment. However, false positive callbacks for additional imaging from screening exams cause unnecessary procedures, patient anxiety, and financial burden. This w
Externí odkaz:
http://arxiv.org/abs/2204.06671
Autor:
Su, Jason G., Vuong, Vy, Shahriary, Eahsan, Aslebagh, Shadi, Yakutis, Emma, Sage, Emma, Haile, Rebecca, Balmes, John, Barrett, Meredith
Publikováno v:
In Environment International July 2024 189
Autor:
O'Sharkey, Karl, Meng, Qi, Mitra, Sanjali, Paik, Seung-a, Liu, Jonathan, Shen, Jiaqi, Thompson, Laura K., Chow, Ting, Su, Jason, Cockburn, Myles, Weichenthal, Scott, Paulson, Susanne E., Jerrett, Michael, Ritz, Beate
Publikováno v:
In Environment International March 2024 185
Autor:
Rodriguez-Villamizar, Laura A., Hellemans, Kim, Jerrett, Michael, Su, Jason, Sandler, Dale P., Villeneuve, Paul J.
Publikováno v:
In Environmental Research 15 February 2024 243
Autor:
Deo, Salil V., Elgudin, Yakov, Motairek, Issam, Ho, Frederick, Brook, Robert D., Su, Jason, Fremes, Stephen, deSouza, Priyanka, Hahad, Omar, Rajagopalan, Sanjay, Al-Kindi, Sadeer
Publikováno v:
In JACC: Advances February 2024 3(2)
Autor:
Singh, Sadanand, Matthews, Thomas Paul, Shah, Meet, Mombourquette, Brent, Tsue, Trevor, Long, Aaron, Almohsen, Ranya, Pedemonte, Stefano, Su, Jason
Mammography-based screening has helped reduce the breast cancer mortality rate, but has also been associated with potential harms due to low specificity, leading to unnecessary exams or procedures, and low sensitivity. Digital breast tomosynthesis (D
Externí odkaz:
http://arxiv.org/abs/2001.08381