luton airport

, @BTS010 ..^^ ...
IP ( , VPN, Tor ) IDC IP . (#14414435) (VPN iCloud .) IDC .
... (toucan) (Ramphastidae) . . ..
, . ...
, ? , . .
(toucan) (Ramphastidae) . . . 5 40 .
1 [1] . 2 , . , .
"AI" AI . "AI" AI .
- 2015 . [12] .

, @BTS010 ..^^ ...
IP ( , VPN, Tor ) IDC IP . (#14414435) (VPN iCloud .) IDC .
... (toucan) (Ramphastidae) . . ..
, . ...
, ? , . .
(toucan) (Ramphastidae) . . . 5 40 .
1 [1] . 2 , . , .
"AI" AI . "AI" AI .
Solution: We are asked to count the number of distinct ways to assign 10 independently classified images into 4 categories with fixed counts: 3 as tumor, 2 as inflammation, 4 as normal, and 1 as stroke. This is a multinomial coefficient problem.
The number of such classification outcomes is given by:
\frac{10!}{3! \cdot 2! \cdot 4! \cdot 1!}
We compute step-by-step:
$10! = 3628800$
$3! = 6$, $2! = 2$, $4! = 24$, $1! = 1$
Denominator: $6 \cdot 2 \cdot 24 \cdot 1 = 288$
\frac{3628800}{288} = 12600
Thus, the number of possible classification outcomes is:
\boxed{12600}