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361por Chen, Yixin, Wang, Xiyun, Chen, Zhibo, Wang, Kang, Sun, Ye, Jiang, Jiarong, Liu, Xuhao“…The model was compared with the classical convolutional neural networks GoogLeNet, Inception V3, ResNet50, and DenseNet121 and the latest disease image classification network DICNN in a self-built camellia disease dataset. …”
Publicado 2023
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362por Ahmed, Shakil, Shaikh, Asadullah, Alshahrani, Hani, Alghamdi, Abdullah, Alrizq, Mesfer, Baber, Junaid, Bakhtyar, Maheen“…The patch-to-scan accuracy of VGG-16 is improved from 0.65 to 0.77, and for the Inception-V3, it is improved from 0.74 to 0.79.…”
Publicado 2021
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363por Hasan, Md Kamrul, Tanha, Tanjum, Amin, Md Ruhul, Faruk, Omar, Khan, Mohammad Monirujjaman, Aljahdali, Sultan, Masud, Mehedi“…In this observation, four different convolutional neural network (CNN) meta-architectures, including InceptionV3, InceptionResnetV2, Xception, and DenseNet121, were applied by using the TensorFlow object detection framework. …”
Publicado 2021
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364“…The method can be applied to longitudinal data to estimate long term costs of cancer from inception where incident patients are identified from a tumor registry.…”
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365por Mahendra Kumar, Jothi Letchumy, Rashid, Mamunur, Muazu Musa, Rabiu, Mohd Razman, Mohd Azraai, Sulaiman, Norizam, Jailani, Rozita, P.P. Abdul Majeed, Anwar“…The raw EEG signals are transformed into a scalogram image via Continuous Wavelet Transform (CWT) before it was fed into the TL models, namely InceptionV3, Inception ResNetV2, Xception and MobileNet. …”
Publicado 2021
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366por Kundu, Nidhi, Rani, Geeta, Dhaka, Vijaypal Singh, Gupta, Kalpit, Nayak, Siddaiah Chandra, Verma, Sahil, Ijaz, Muhammad Fazal, Woźniak, Marcin“…Furthermore, the impact of transfer learning on the ‘Custom-Net’ and state-of-the-art models viz. Inception ResNet-V2, Inception-V3, ResNet-50, VGG-16, and VGG-19 is shown in this manuscript. …”
Publicado 2021
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367“…The accuracy of the model evaluation for Inception3D, ResNet3D, and VGG3D was 95.4%, 92.0%, and 97.7%, and the accuracy of the external validation was 76.7%, 67.1%, and 85.3%, respectively. …”
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368“…In this study, transfer learning was performed to gain toxicopathological knowledge using CNN models such as InceptionV3 and Xception. For the classification of tubular basophilia and mineralization, two representative background lesions that commonly occur in toxicological studies, accuracies of diagnosis were compared using MobileNetV2, Xception and InceptionV3. …”
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369por Salman Khan, Muhammad, Ullah, Azmat, Khan, Kaleem Nawaz, Riaz, Huma, Yousafzai, Yasar Mehmood, Rahman, Tawsifur, Chowdhury, Muhammad E. H., Abul Kashem, Saad Bin“…InceptionV3 outperformed the other CNNs in detecting thalassaemia using Hb electrophoresis images. …”
Publicado 2022
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370“…This allowed us to estimate, for each patient, the age at cancer onset and inception of the first metastasis, the expected metastasis latency time and the rates of growth of the primary tumor and metastases before and after the start of treatment. …”
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371por Dansana, Debabrata, Kumar, Raghvendra, Bhattacharjee, Aishik, Hemanth, D. Jude, Gupta, Deepak, Khanna, Ashish, Castillo, Oscar“…It can infer that fine-tuned version VGG-19, Inception_V2 and decision tree model show highly satisfactory performance with a rate of increase in training and validation accuracy (91%) other than Inception_V2 (78%) and decision tree (60%) models.…”
Publicado 2020
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372“…They also achieved a lower kernel Inception distance (1.44) and a lower Fréchet Inception distance (0.312). …”
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373“…ResNet-18, MobileNet-v2, ResNet-50, ResNet-101, Inception-v3, and Inception-ResNet-v2 were tested to determine the optimal pre-trained network architecture. …”
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374“…Comparative models were Xception, InceptionV3, DenseNet201, NASNetMobile, DenseNet121, VGG16, VGG19, and ResNet101, and fine tuning was performed. …”
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375por Saravagi, Deepika, Agrawal, Shweta, Saravagi, Manisha, Chatterjee, Jyotir Moy, Agarwal, Mohit“…In this study, VGG16 and InceptionV3 models were used for the image classification task. …”
Publicado 2022
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376por Kaushik, Bhavana, Koundal, Deepika, Goel, Neelam, Zaguia, Atef, Belay, Assaye, Turabieh, Hamza“…In this paper, the benefits of weights of existing pretrained model VGG16 and InceptionV3 have been taken. Base model has been created using pretrained models (VGG16 and InceptionV3). …”
Publicado 2022
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377“…In this paper, we propose a hybrid network of an inception v4 architecture-based single-shot multibox detector (Hyb-SSDNet) to detect small polyp regions in both WCE and colonoscopy frames. …”
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378Performance Comparison of Multiple Convolutional Neural Networks for Concrete Defects Classification“…The InceptionV3 model performed best with optimizer stochastic gradient descent (SGD) and a learning rate of 0.001.…”
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379por Longo, Umile Giuseppe, Papalia, Rocco, De Salvatore, Sergio, Marinozzi, Andrea, Piergentili, Ilaria, Lalli, Alberto, Bandini, Benedetta, Franceschetti, Edoardo, Denaro, Vincenzo“…Using the HADS, participants’ degrees of anxiety and depression were assessed at inception and at their final assessment 6 months after surgery. …”
Publicado 2023
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380por Spies, Werner, 1937-Tabla de Contenidos: “…Islands in the oeuvre -- Childhood: a strategy of beginning -- The early years and the Blue Period -- Joyless children -- The child as symbol -- "There was never any more inception than there is now" -- The disguises of the Rose Period -- Primitivism and childhood -- Cubism: the search for a world without childhood -- The motif returns -- Neoclassicism and stylistic pluralism -- The courtly portrait of his firstborn -- Private life and mythological projections -- The dead children: Guernica and the Charnel House -- The limits of representation --…”
Publicado 1994
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