Hybrid Deep Learning Framework for Melanoma Diagnosis Using Dermoscopic Medical Images.

Autor: Mateen, Muhammad¹ (AUTHOR) muhammadmateen@suda.edu.cn, Hayat, Shaukat² (AUTHOR) s.hayat@iiu.edu.pk, Arshad, Fizzah³ (AUTHOR) fizzaa995@gmail.com, Gu, Yeong-Hyeon⁴ (AUTHOR) muhammadmateen@suda.edu.cn, Al-antari, Mugahed A.⁴ (AUTHOR) muhammadmateen@suda.edu.cn

Publikováno v: Diagnostics (2075-4418). Oct2024, Vol. 14 Issue 19, p2242. 16p.

A Search for the Neutral Higgs Boson at Lep

Autor: Adriani, O, Aguilar-Benítez, M, Ahlen, S P, Alcaraz, J, Aloisio, A, Alverson, G, Alviggi, M G, Ambrosi, G, An, Q, Anderhub, H, Anderson, A L, Andreev, V P, Antonov, L, Antreasyan, D, Arce, P, Arefev, A, Atamanchuk, A G, Azemoon, T, Aziz, T, Baba, P V K S, Bagnaia, P, Bakken, J A, Baksay, L, Ball, R C, Banerjee, S, Bao, J, Barillère, R, Barone, L, Baschirotto, A, Battiston, R, Bay, A, Becattini, F, Becker, U, Behner, F, Behrens, J, Bencze, G L, Berdugo, J, Berges, P, Bertucci, B, Betev, B L, Biasini, M, Biland, A, Bilei, G M, Bizzarri, R, Blaising, J J, Bobbink, Gerjan J, Böck, R K, Böhm, A, Borgia, B, Bosetti, M, Bourilkov, D, Bourquin, Maurice, Boutigny, D, Bouwens, B T, Brambilla, Elena, Branson, J G, Brock, I C, Brooks, M, Bujak, A T, Burger, J D, Burger, W J, Busenitz, J K, Buytenhuijs, A O, Cai, X D, Capell, M, Caria, M, Carlino, G, Cartacci, A M, Castello, R, Cerrada-Canales, M, Cesaroni, F, Chang, Y H, Chaturvedi, U K, Chemarin, M, Chen, A, Chen, C, Chen, G M, Chen, H F, 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Publikováno v: ResearcherID
SEDICI (UNLP)
Universidad Nacional de La Plata
instacron:UNLP
Physics Letters B, 303, 3-4, pp. 391-399
Physics Letters B
Physics Letters B, Elsevier, 1993, 303, pp.391-399. ⟨10.1016/0370-2693(93)91450-2⟩
Physics Letters B, 303, 391-399. Elsevier
Physics Letters B, 303, 391-399. Elsevier science bv

We update the results of a search for the Standard Model neutral Higgs boson using a data sample corresponding to 1 062 000 hadronic Z decays. We exclude the existence of the Minimal Standard Model Higgs boson in the mass range 0 -%< mH < 57.7 GeV at

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::206dfa362683fbb4f26bad8ddba8989d
https://hdl.handle.net/2066/26854

Presegmenter Cascaded Framework for Mammogram Mass Segmentation.

Autor: Oza, Urvi¹ (AUTHOR) 201921009@daiict.ac.in, Gohel, Bakul¹ (AUTHOR), Kumar, Pankaj² (AUTHOR), Oza, Parita² (AUTHOR) parita.prajapati@nirmauni.ac.in, Abu-Qasmieh, Isam (AUTHOR) iabuqasmieh@yu.edu.jo

Publikováno v: International Journal of Biomedical Imaging. 8/9/2024, Vol. 2024, p1-18. 18p.

Bayesian‐Edge system for classification and segmentation of skin lesions in Internet of Medical Things.

Autor: Naseem, Shahid¹ (AUTHOR), Anwar, Muhammad¹ (AUTHOR), Faheem, Muhammad² (AUTHOR) muhammad.faheem@uwasa.fi, Fayyaz, Muhammad³ (AUTHOR), Malik, Muhammad Sheraz Arshad⁴ (AUTHOR)

Publikováno v: Skin Research & Technology. Aug2024, Vol. 30 Issue 8, p1-14. 14p.

Reproducibility and Explainability of Deep Learning in Mammography: A Systematic Review of Literature.

Autor: Bhalla, Deeksha¹ (AUTHOR), Rangarajan, Krithika¹ (AUTHOR) krithikarangarajan86@gmail.com, Chandra, Tany¹ (AUTHOR), Banerjee, Subhashis² (AUTHOR), Arora, Chetan² (AUTHOR)

Publikováno v: Indian Journal of Radiology & Imaging. Jul2024, Vol. 34 Issue 3, p469-487. 19p.