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3
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
Por Schaffter, Thomas, Buist, Diana S. M., Lee, Christoph I., Nikulin, Yaroslav, Ribli, Dezső, Guan, Yuanfang, Lotter, William, Jie, Zequn, Du, Hao, Wang, Sijia, Feng, Jiashi, Feng, Mengling, Kim, Hyo-Eun, Albiol, Francisco, Albiol, Alberto, Morrell, Stephen, Wojna, Zbigniew, Ahsen, Mehmet Eren, Asif, Umar, Jimeno Yepes, Antonio, Yohanandan, Shivanthan, Rabinovici-Cohen, Simona, Yi, Darvin, Hoff, Bruce, Yu, Thomas, Chaibub Neto, Elias, Rubin, Daniel L., Lindholm, Peter, Margolies, Laurie R., McBride, Russell Bailey, Rothstein, Joseph H., Sieh, Weiva, Ben-Ari, Rami, Harrer, Stefan, Trister, Andrew, Friend, Stephen, Norman, Thea, Sahiner, Berkman, Strand, Fredrik, Guinney, Justin, Stolovitzky, Gustavo, Mackey, Lester, Cahoon, Joyce, Shen, Li, Sohn, Jae Ho, Trivedi, Hari, Shen, Yiqiu, Buturovic, Ljubomir, Pereira, Jose Costa, Cardoso, Jaime S., Castro, Eduardo, Kalleberg, Karl Trygve, Pelka, Obioma, Nedjar, Imane, Geras, Krzysztof J., Nensa, Felix, Goan, Ethan, Koitka, Sven, Caballero, Luis, Cox, David D., Krishnaswamy, Pavitra, Pandey, Gaurav, Friedrich, Christoph M., Perrin, Dimitri, Fookes, Clinton, Shi, Bibo, Cardoso Negrie, Gerard, Kawczynski, Michael, Cho, Kyunghyun, Khoo, Can Son, Lo, Joseph Y., Sorensen, A. Gregory, Jung, Hwejin
Publicado no JAMA Netw Open (2020)
“... and false positives. OBJECTIVE: To evaluate whether AI can overcome human mammography interpretation...”
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Linear precoding based on polynomial expansion: reducing complexity in massive MIMO
“... for the polynomial coefficients that maximizes this SINR. To maintain a fixed per-user rate loss as compared to RZF...”
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Data collection for mobile crowdsensing in the presence of selfishness
“... offered by smart phones and users’ mobility. Data collection can be implemented by exploiting...”
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